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from functools import lru_cache
from typing import Optional
DESIGN_SYSTEM = {
'colors': {
'primary': '#1E40AF',
'secondary': '#059669',
'accent': '#DC2626',
'warning': '#D97706',
'success': '#10B981',
'background': '#F8FAFC',
'text': '#1F2937',
'border': '#E5E7EB'
},
'fonts': {
'title': 'font-family: "Inter", sans-serif; font-weight: 700;',
'subtitle': 'font-family: "Inter", sans-serif; font-weight: 600;',
'body': 'font-family: "Inter", sans-serif; font-weight: 400;'
}
}
DATA_URLS = {
"2024": "https://huggingface.co/spaces/entropy25/production-data-analysis/resolve/main/2024.csv",
"2025": "https://huggingface.co/spaces/entropy25/production-data-analysis/resolve/main/2025.csv"
}
SAMPLE_MATERIALS = ['steel', 'aluminum', 'plastic', 'copper']
SAMPLE_SHIFTS = ['day', 'night']
SAMPLE_BASE_WEIGHTS = {
'steel': 1500,
'aluminum': 800,
'plastic': 600,
'copper': 400
}
TRANSLATIONS = {
'English': {
'page_title': 'Production Monitor with AI Insights',
'page_subtitle': 'Nilsen Service & Consulting AS | Real-time Production Analytics & Recommendations',
'sidebar_data_source': 'Data Source',
'sidebar_upload': 'Upload Production Data',
'sidebar_quick_load': 'Quick Load',
'sidebar_format_hint': '**Expected TSV format:**\n- `date`: MM/DD/YYYY\n- `weight_kg`: Production weight\n- `material_type`: Material category\n- `shift`: day/night (optional)',
'ai_ready': 'AI Assistant Ready',
'ai_unavailable': 'AI Assistant Unavailable',
'ai_config_hint': 'To enable AI features, set GROQ_API_KEY as environment variable or in Streamlit secrets',
'data_uploaded': 'Data uploaded successfully',
'data_loaded': 'data loaded successfully',
'data_health': 'Data Health Check',
'section_material_overview': 'Material Overview',
'section_production_trends': 'Production Trends',
'section_materials_analysis': 'Materials Analysis',
'section_shift_analysis': 'Shift Analysis',
'section_quality_check': 'Quality Check',
'section_export': 'Export Reports',
'section_ai_insights': 'AI Insights',
'section_ai_config': 'AI Configuration',
'time_period': 'Time Period',
'select_materials': 'Select Materials',
'metric_total': 'Total Production',
'metric_daily_avg': 'Daily avg',
'quality_normal': 'All values normal',
'quality_outliers': 'outliers detected',
'quality_normal_range': 'Normal range',
'btn_generate_pdf': 'Generate PDF Report',
'btn_download_pdf': 'Download PDF Report',
'btn_generate_csv': 'Generate CSV Summary',
'btn_download_csv': 'Download CSV Summary',
'btn_download_raw': 'Download Raw Data',
'pdf_generating': 'Generating comprehensive PDF report...',
'pdf_success': 'PDF report generated successfully',
'pdf_failed': 'PDF generation failed',
'csv_success': 'CSV summary generated successfully',
'csv_failed': 'CSV generation failed',
'ai_quick_q1': 'How does production distribution on weekdays compare to weekends?',
'ai_quick_q2': 'Which material exhibits the most volatility in our dataset?',
'ai_quick_q3': 'To improve stability, which material or shift needs immediate attention?',
'ai_custom_placeholder': "e.g., 'Compare steel vs aluminum last month'",
'ai_ask_label': 'Ask about your production data:',
'ai_ask_btn': 'Ask AI',
'ai_analyzing': 'Analyzing...',
'welcome_title': 'How to Use This Platform',
'welcome_quick_start': 'Quick Start',
'welcome_features': 'Key Features',
'welcome_ready': 'Ready to start? Upload your production data or use Quick Load buttons to begin analysis',
'welcome_steps': '1. Upload your TSV data in the sidebar\n2. Or click Quick Load buttons for preset data\n3. View production by material type\n4. Analyze trends (daily/weekly/monthly)\n5. Check anomalies in Quality Check\n6. Export reports (PDF with AI, CSV)\n7. Ask the AI assistant for insights',
'welcome_features_list': '- Real-time interactive charts\n- One-click preset data loading\n- Time-period comparisons\n- Shift performance analysis\n- Outlier detection with dates\n- AI-powered PDF reports\n- Intelligent recommendations',
'ai_config_info': '**AI Assistant is currently unavailable.**\n\nTo enable AI features, configure your Groq API key:\n\n**Option 1: Environment Variable**\n```bash\nexport GROQ_API_KEY="your_api_key_here"\n```\n\n**Option 2: Streamlit Secrets**\nCreate `.streamlit/secrets.toml`:\n```toml\nGROQ_API_KEY = "your_api_key_here"\n```\n\nGet free API key at: https://console.groq.com/keys',
'chart_total_production': 'Total Production Trend',
'chart_total_production_weekly': 'Total Production Trend (Weekly)',
'chart_total_production_monthly': 'Total Production Trend (Monthly)',
'chart_materials_trends': 'Materials Production Trends',
'chart_materials_trends_weekly': 'Materials Production Trends (Weekly)',
'chart_materials_trends_monthly': 'Materials Production Trends (Monthly)',
'chart_shift_trends': 'Daily Shift Production Trends (Stacked)',
'chart_shift_trends_period': 'Shift Production Trends',
'label_date': 'Date',
'label_weight': 'Weight (kg)',
'label_week': 'Week',
'label_month': 'Month',
'label_material': 'Material',
'label_day_shift': 'Day Shift',
'label_night_shift': 'Night Shift'
},
'Norsk': {
'page_title': 'Produksjonsovervaking med AI-innsikt',
'page_subtitle': 'Nilsen Service & Consulting AS | Sanntidsanalyse og anbefalinger',
'sidebar_data_source': 'Datakilde',
'sidebar_upload': 'Last opp produksjonsdata',
'sidebar_quick_load': 'Hurtiglasting',
'sidebar_format_hint': '**Forventet TSV-format:**\n- `date`: MM/DD/YYYY\n- `weight_kg`: Produksjonsvekt\n- `material_type`: Materialkategori\n- `shift`: dag/natt (valgfritt)',
'ai_ready': 'AI-assistent klar',
'ai_unavailable': 'AI-assistent utilgjengelig',
'ai_config_hint': 'For a aktivere AI-funksjoner, sett GROQ_API_KEY som miljovariabel eller i Streamlit secrets',
'data_uploaded': 'Data lastet opp',
'data_loaded': 'data lastet inn',
'data_health': 'Datakvalitetssjekk',
'section_material_overview': 'Materialoversikt',
'section_production_trends': 'Produksjonstrender',
'section_materials_analysis': 'Materialanalyse',
'section_shift_analysis': 'Skiftanalyse',
'section_quality_check': 'Kvalitetskontroll',
'section_export': 'Eksporter rapporter',
'section_ai_insights': 'AI-innsikt',
'section_ai_config': 'AI-konfigurasjon',
'time_period': 'Tidsperiode',
'select_materials': 'Velg materialer',
'metric_total': 'Total produksjon',
'metric_daily_avg': 'Daglig gj.snitt',
'quality_normal': 'Alle verdier normale',
'quality_outliers': 'avvik funnet',
'quality_normal_range': 'Normalomrade',
'btn_generate_pdf': 'Generer PDF-rapport',
'btn_download_pdf': 'Last ned PDF-rapport',
'btn_generate_csv': 'Generer CSV-sammendrag',
'btn_download_csv': 'Last ned CSV-sammendrag',
'btn_download_raw': 'Last ned radata',
'pdf_generating': 'Genererer omfattende PDF-rapport...',
'pdf_success': 'PDF-rapport generert',
'pdf_failed': 'PDF-generering mislyktes',
'csv_success': 'CSV-sammendrag generert',
'csv_failed': 'CSV-generering mislyktes',
'ai_quick_q1': 'Hvordan er produksjonsfordelingen pa hverdager sammenlignet med helger?',
'ai_quick_q2': 'Hvilket materiale viser mest volatilitet i datasettet?',
'ai_quick_q3': 'For a forbedre stabilitet, hvilket materiale eller skift trenger umiddelbar oppmerksomhet?',
'ai_custom_placeholder': "f.eks. 'Sammenlign stal og aluminium forrige maned'",
'ai_ask_label': 'Still sporsmal om produksjonsdataene:',
'ai_ask_btn': 'Spor AI',
'ai_analyzing': 'Analyserer...',
'welcome_title': 'Slik bruker du plattformen',
'welcome_quick_start': 'Hurtigstart',
'welcome_features': 'Hovedfunksjoner',
'welcome_ready': 'Klar til a starte? Last opp produksjonsdata eller bruk Hurtiglasting-knappene',
'welcome_steps': '1. Last opp TSV-data i sidepanelet\n2. Eller klikk Hurtiglasting-knappene for forhandsinnstilte data\n3. Se produksjon etter materialtype\n4. Analyser trender (daglig/ukentlig/manedlig)\n5. Sjekk anomalier i Kvalitetskontroll\n6. Eksporter rapporter (PDF med AI, CSV)\n7. Still AI-assistenten sporsmal for innsikt',
'welcome_features_list': '- Sanntids interaktive diagrammer\n- Ett-klikks forhandsinnlasting\n- Tidsperiodesammenligninger\n- Skiftytelsesanalyse\n- Avviksdeteksjon med datoer\n- AI-drevne PDF-rapporter\n- Intelligente anbefalinger',
'ai_config_info': '**AI-assistent er for oyeblikket utilgjengelig.**\n\nFor a aktivere AI-funksjoner, konfigurer Groq API-nokkel:\n\n**Alternativ 1: Miljovariabel**\n```bash\nexport GROQ_API_KEY="din_api_nokkel_her"\n```\n\n**Alternativ 2: Streamlit Secrets**\nOpprett `.streamlit/secrets.toml`:\n```toml\nGROQ_API_KEY = "din_api_nokkel_her"\n```\n\nFa gratis API-nokkel pa: https://console.groq.com/keys',
'chart_total_production': 'Total produksjonstrend',
'chart_total_production_weekly': 'Total produksjonstrend (Ukentlig)',
'chart_total_production_monthly': 'Total produksjonstrend (Manedlig)',
'chart_materials_trends': 'Materialproduksjonstrender',
'chart_materials_trends_weekly': 'Materialproduksjonstrender (Ukentlig)',
'chart_materials_trends_monthly': 'Materialproduksjonstrender (Manedlig)',
'chart_shift_trends': 'Daglig skiftproduksjonstrend (Stablet)',
'chart_shift_trends_period': 'Skiftproduksjonstrender',
'label_date': 'Dato',
'label_weight': 'Vekt (kg)',
'label_week': 'Uke',
'label_month': 'Maned',
'label_material': 'Material',
'label_day_shift': 'Dagskift',
'label_night_shift': 'Nattskift'
}
}
def get_translation(lang: str = 'English') -> dict:
return TRANSLATIONS.get(lang, TRANSLATIONS['English'])
class Settings:
def __init__(self):
self.environment = os.getenv("ENV", "development")
@property
def groq_api_key(self) -> Optional[str]:
if key := os.getenv("GROQ_API_KEY"):
return key
try:
import streamlit as st
if key := st.secrets.get("GROQ_API_KEY"):
return key
except:
pass
if self.environment == "development":
try:
from dotenv import load_dotenv
load_dotenv()
return os.getenv("GROQ_API_KEY")
except ImportError:
pass
return None
@property
def is_production(self) -> bool:
return self.environment == "production"
@lru_cache()
def get_settings() -> Settings:
return Settings()
def get_css_styles() -> str:
colors = DESIGN_SYSTEM['colors']
fonts = DESIGN_SYSTEM['fonts']
return f"""
<style>
@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap');
.main-header {{
background: linear-gradient(135deg, {colors['primary']} 0%, {colors['secondary']} 100%);
padding: 1.5rem 2rem;
border-radius: 12px;
margin-bottom: 2rem;
color: white;
text-align: center;
}}
.main-title {{
{fonts['title']}
font-size: 2.2rem;
margin: 0;
text-shadow: 0 2px 4px rgba(0,0,0,0.1);
}}
.main-subtitle {{
{fonts['body']}
font-size: 1rem;
opacity: 0.9;
margin-top: 0.5rem;
}}
.section-header {{
{fonts['subtitle']}
color: {colors['text']};
font-size: 1.4rem;
margin: 2rem 0 1rem 0;
padding-bottom: 0.5rem;
border-bottom: 2px solid {colors['primary']};
}}
.chart-container {{
background: white;
border-radius: 12px;
padding: 1rem;
box-shadow: 0 1px 3px rgba(0,0,0,0.1);
margin-bottom: 1rem;
}}
.alert-success {{
background: linear-gradient(135deg, {colors['success']}15, {colors['success']}25);
border: 1px solid {colors['success']};
border-radius: 8px;
padding: 1rem;
color: {colors['success']};
}}
.alert-warning {{
background: linear-gradient(135deg, {colors['warning']}15, {colors['warning']}25);
border: 1px solid {colors['warning']};
border-radius: 8px;
padding: 1rem;
color: {colors['warning']};
}}
.quality-dates {{
font-size: 0.85em;
margin-top: 0.5rem;
max-height: 150px;
overflow-y: auto;
padding: 0.3rem;
background: rgba(255,255,255,0.3);
border-radius: 4px;
}}
.stButton > button, .stDownloadButton > button {{
background: {colors['primary']} !important;
color: white !important;
border: none !important;
border-radius: 8px !important;
padding: 0.5rem 1rem !important;
font-weight: 500 !important;
}}
</style>
"""
def get_chart_theme() -> dict:
colors = DESIGN_SYSTEM['colors']
return {
'layout': {
'plot_bgcolor': 'white',
'paper_bgcolor': 'white',
'font': {'family': 'Inter, sans-serif', 'color': colors['text']},
'colorway': [colors['primary'], colors['secondary'], colors['accent'], colors['warning']],
'margin': {'t': 60, 'b': 40, 'l': 40, 'r': 40}
}
} |