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app_simplified.py

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+import streamlit as st
+import requests
+import pandas as pd
+import plotly.express as px
+import json
+import time
+from datetime import datetime
+import sqlite3
+import hashlib
+import gzip
+from typing import Dict, Any, List
+import warnings
+warnings.filterwarnings('ignore')
+
+# Global ML availability flag
+ML_AVAILABLE = False
+
+# AI/ML Imports for enhanced functionality
+try:
+    from transformers import pipeline
+    from sentence_transformers import SentenceTransformer
+    ML_AVAILABLE = True
+except ImportError:
+    ML_AVAILABLE = False
+
+# Enhanced Page Configuration
+st.set_page_config(
+    page_title="Simplified Data Harvester",
+    page_icon="🚀",
+    layout="wide",
+    initial_sidebar_state="collapsed"
+)
+
+# Enhanced CSS with modern, professional styling
+st.markdown("""
+<style>
+    .main > div {
+        padding-top: 1rem;
+    }
+    .stApp {
+        background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%);
+        color: #2c3e50;
+    }
+    .title-container {
+        text-align: center;
+        padding: 2rem 0;
+        background: rgba(255, 255, 255, 0.9);
+        border-radius: 15px;
+        margin-bottom: 2rem;
+        border: 1px solid rgba(52, 73, 94, 0.1);
+        box-shadow: 0 4px 12px rgba(0, 0, 0, 0.05);
+    }
+    .api-grid {
+        display: grid;
+        grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
+        gap: 1rem;
+        margin: 1rem 0;
+    }
+    .api-card {
+        background: rgba(255, 255, 255, 0.9);
+        border-radius: 10px;
+        padding: 1rem;
+        border: 1px solid rgba(52, 73, 94, 0.15);
+        text-align: center;
+    }
+    .main-button {
+        background: linear-gradient(135deg, #3498db, #2980b9);
+        color: white;
+        border: none;
+        border-radius: 12px;
+        padding: 1rem 2rem;
+        font-size: 1.2rem;
+        font-weight: bold;
+        cursor: pointer;
+        width: 100%;
+        margin: 1rem 0;
+    }
+    .main-button:hover {
+        background: linear-gradient(135deg, #2980b9, #1f4e79);
+        transform: translateY(-2px);
+        box-shadow: 0 8px 25px rgba(52, 152, 219, 0.3);
+    }
+</style>
+""", unsafe_allow_html=True)
+
+# Database Configuration
+DB_PATH = "simplified_harvester.db"
+
+# Simplified API Configuration - Real working endpoints
+SIMPLIFIED_API_CONFIG = {
+    "Skolverket": {
+        "name": "🇸🇪 Skolverket",
+        "description": "Swedish National Agency for Education",
+        "endpoints": [
+            {
+                "url": "https://api.skolverket.se/planned-educations/v3",
+                "headers": {"Accept": "application/vnd.skolverket.plannededucations.api.v3.hal+json"},
+                "method": "GET"
+            }
+        ]
+    },
+    "SCB": {
+        "name": "🇸🇪 Statistics Sweden", 
+        "description": "Swedish National Statistics Office",
+        "endpoints": [
+            {
+                "url": "https://api.scb.se/OV0104/v1/doris/sv/ssd/START/BE/BE0101/BE0101A/BefolkningNy",
+                "headers": {"Content-Type": "application/json"},
+                "method": "POST",
+                "data": {
+                    "query": [
+                        {"code": "Region", "selection": {"filter": "item", "values": ["00"]}},
+                        {"code": "Civilstand", "selection": {"filter": "item", "values": ["TOT"]}},
+                        {"code": "Alder", "selection": {"filter": "item", "values": ["tot"]}},
+                        {"code": "Kon", "selection": {"filter": "item", "values": ["1", "2"]}},
+                        {"code": "ContentsCode", "selection": {"filter": "item", "values": ["BE0101N1"]}},
+                        {"code": "Tid", "selection": {"filter": "item", "values": ["2023"]}}
+                    ],
+                    "response": {"format": "json"}
+                }
+            }
+        ]
+    },
+    "Kolada": {
+        "name": "🇸🇪 Kolada",
+        "description": "Municipal Key Performance Indicators",
+        "endpoints": [
+            {
+                "url": "https://api.kolada.se/v2/municipality",
+                "headers": {"Accept": "application/json"},
+                "method": "GET"
+            }
+        ]
+    },
+    "Eurostat": {
+        "name": "🇪🇺 Eurostat",
+        "description": "European Union Statistics",
+        "endpoints": [
+            {
+                "url": "https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/demo_pjan?format=JSON&lang=en&geo=EU27_2020&age=TOTAL&sex=T&time=2023",
+                "headers": {"Accept": "application/json"},
+                "method": "GET"
+            }
+        ]
+    },
+    "WHO": {
+        "name": "🌍 WHO",
+        "description": "World Health Organization",
+        "endpoints": [
+            {
+                "url": "https://ghoapi.azureedge.net/api/WHOSIS_000001",
+                "headers": {"Accept": "application/json"},
+                "method": "GET"
+            }
+        ]
+    },
+    "OECD": {
+        "name": "🌍 OECD",
+        "description": "Organisation for Economic Co-operation and Development",
+        "endpoints": [
+            {
+                "url": "https://sdmx.oecd.org/public/rest/data/OECD.SDD.NAD,DSD_NAMAIN1@DF_QNA,1.0/AUS.B1GQ.C.Q?format=jsondata",
+                "headers": {"Accept": "application/vnd.sdmx.data+json;version=1.0.0"},
+                "method": "GET"
+            }
+        ]
+    },
+    "WorldBank": {
+        "name": "🌍 World Bank",
+        "description": "International Financial Institution",
+        "endpoints": [
+            {
+                "url": "https://api.worldbank.org/v2/country?format=json&per_page=50",
+                "headers": {"Accept": "application/json"},
+                "method": "GET"
+            }
+        ]
+    },
+    "Riksbanken": {
+        "name": "🇸🇪 Riksbanken",
+        "description": "Swedish Central Bank",
+        "endpoints": [
+            {
+                "url": "https://api.riksbank.se/swea/v1/Observations/SEKEURPMI/2023-01-01/2023-12-31",
+                "headers": {"Accept": "application/json"},
+                "method": "GET"
+            }
+        ]
+    },
+    "Swecris": {
+        "name": "🇸🇪 Swecris",
+        "description": "Swedish Research Council Database",
+        "endpoints": [
+            {
+                "url": "https://swecris-api.vr.se/v1/projects?size=50",
+                "headers": {
+                    "Accept": "application/json",
+                    "Authorization": "Bearer VRSwecrisAPI2025-1"
+                },
+                "method": "GET"
+            }
+        ]
+    },
+    "CSN": {
+        "name": "🇸🇪 CSN",
+        "description": "Swedish Board of Student Finance",
+        "endpoints": [
+            {
+                "url": "https://statistik.csn.se/PXWeb/api/v1/sv/CSNstat/StudiebidragGymnasieskola/SS0101B1.px",
+                "headers": {"Content-Type": "application/json"},
+                "method": "POST",
+                "data": {
+                    "query": [
+                        {"code": "Region", "selection": {"filter": "item", "values": ["00"]}},
+                        {"code": "ContentsCode", "selection": {"filter": "item", "values": ["SS0101B1"]}},
+                        {"code": "Tid", "selection": {"filter": "item", "values": ["2023"]}}
+                    ],
+                    "response": {"format": "json"}
+                }
+            }
+        ]
+    }
+}
+
+def init_database():
+    """Initialize SQLite database"""
+    conn = sqlite3.connect(DB_PATH)
+    cursor = conn.cursor()
+    
+    cursor.execute('''
+        CREATE TABLE IF NOT EXISTS harvested_data (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            api_name TEXT NOT NULL,
+            endpoint_url TEXT NOT NULL,
+            data_hash TEXT UNIQUE,
+            raw_data TEXT,
+            compressed_data BLOB,
+            record_count INTEGER,
+            data_size_bytes INTEGER,
+            fetch_timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+            fetch_duration_ms INTEGER,
+            status TEXT DEFAULT 'success',
+            session_id TEXT
+        )
+    ''')
+    
+    cursor.execute('CREATE INDEX IF NOT EXISTS idx_api_name ON harvested_data(api_name)')
+    cursor.execute('CREATE INDEX IF NOT EXISTS idx_timestamp ON harvested_data(fetch_timestamp)')
+    cursor.execute('CREATE INDEX IF NOT EXISTS idx_status ON harvested_data(status)')
+    
+    conn.commit()
+    conn.close()
+
+class SimplifiedDataHarvester:
+    """Simplified data harvester - one function to fetch from all APIs"""
+    
+    def __init__(self):
+        self.session = requests.Session()
+        self.session.headers.update({
+            'User-Agent': 'Simplified-Data-Harvester/1.0 (Research & Analysis)'
+        })
+        self.results = {}
+        self.errors = {}
+    
+    def fetch_all_apis(self, progress_callback=None) -> Dict:
+        """One function to fetch data from all APIs automatically"""
+        session_id = f"simplified_{int(time.time())}"
+        total_apis = len(SIMPLIFIED_API_CONFIG)
+        completed = 0
+        
+        if progress_callback:
+            progress_callback(f"🚀 Starting data collection from {total_apis} APIs...")
+        
+        for api_name, config in SIMPLIFIED_API_CONFIG.items():
+            if progress_callback:
+                progress_callback(f"🔄 Fetching from {config['name']}...")
+            
+            try:
+                api_results = self._fetch_api_data(api_name, config, session_id)
+                self.results[api_name] = api_results
+                completed += 1
+                
+                if progress_callback:
+                    progress = (completed / total_apis) * 100
+                    progress_callback(f"✅ {config['name']} completed ({progress:.1f}%)")
+                
+                time.sleep(0.5)  # Respectful delay
+                    
+            except Exception as e:
+                self.errors[api_name] = str(e)
+                if progress_callback:
+                    progress_callback(f"❌ {config['name']} failed: {str(e)[:50]}...")
+                completed += 1
+        
+        if progress_callback:
+            successful = len(self.results)
+            failed = len(self.errors)
+            progress_callback(f"🎉 Collection complete! ✅ {successful} successful, ❌ {failed} failed")
+        
+        return {
+            "results": self.results,
+            "errors": self.errors,
+            "session_id": session_id,
+            "summary": {
+                "total_apis": total_apis,
+                "successful": len(self.results),
+                "failed": len(self.errors),
+                "success_rate": (len(self.results) / total_apis) * 100
+            }
+        }
+    
+    def _fetch_api_data(self, api_name: str, config: Dict, session_id: str) -> Dict:
+        """Fetch data from all endpoints for a specific API"""
+        api_results = {
+            "api_name": api_name,
+            "endpoints": [],
+            "total_records": 0,
+            "total_size": 0
+        }
+        
+        for i, endpoint in enumerate(config['endpoints']):
+            try:
+                start_time = time.time()
+                
+                # Make request
+                if endpoint.get('method', 'GET').upper() == 'POST':
+                    response = self.session.post(
+                        endpoint['url'],
+                        headers=endpoint.get('headers', {}),
+                        json=endpoint.get('data', {}),
+                        timeout=30
+                    )
+                else:
+                    response = self.session.get(
+                        endpoint['url'],
+                        headers=endpoint.get('headers', {}),
+                        timeout=30
+                    )
+                
+                response.raise_for_status()
+                
+                # Process response
+                data = self._process_response(response)
+                fetch_duration = int((time.time() - start_time) * 1000)
+                
+                # Extract meaningful data
+                processed_data = self._extract_api_data(data, api_name)
+                record_count = self._count_records(processed_data)
+                data_size = len(response.content)
+                
+                # Save to database
+                self._save_data_to_db(
+                    api_name, endpoint['url'], processed_data, session_id,
+                    fetch_duration, record_count, data_size, "success"
+                )
+                
+                endpoint_result = {
+                    "endpoint_url": endpoint['url'],
+                    "status": "success",
+                    "records": record_count,
+                    "size_bytes": data_size,
+                    "duration_ms": fetch_duration,
+                    "data_preview": str(processed_data)[:200] + "..." if len(str(processed_data)) > 200 else str(processed_data)
+                }
+                
+                api_results["endpoints"].append(endpoint_result)
+                api_results["total_records"] += record_count
+                api_results["total_size"] += data_size
+                
+            except Exception as e:
+                endpoint_result = {
+                    "endpoint_url": endpoint['url'],
+                    "status": "error", 
+                    "error": str(e),
+                    "records": 0,
+                    "size_bytes": 0,
+                    "duration_ms": 0
+                }
+                api_results["endpoints"].append(endpoint_result)
+        
+        return api_results
+    
+    def _process_response(self, response):
+        """Process API response"""
+        content_type = response.headers.get('content-type', '').lower()
+        
+        if 'json' in content_type:
+            return response.json()
+        else:
+            try:
+                return response.json()  # Try JSON first
+            except:
+                return {"raw_content": response.text}
+    
+    def _extract_api_data(self, data: Any, api_name: str) -> Any:
+        """Extract meaningful data from API response"""
+        if api_name == "SCB" and isinstance(data, dict):
+            return data.get("data", data)
+        elif api_name == "Kolada" and isinstance(data, dict):
+            return data.get("values", data)
+        elif api_name == "WorldBank" and isinstance(data, list) and len(data) > 1:
+            return data[1] if data[1] else data[0]
+        else:
+            return data
+    
+    def _count_records(self, data: Any) -> int:
+        """Count records in the data"""
+        if isinstance(data, list):
+            return len(data)
+        elif isinstance(data, dict):
+            for key, value in data.items():
+                if isinstance(value, list) and len(value) > 0:
+                    return len(value)
+            return 1
+        else:
+            return 1 if data else 0
+    
+    def _save_data_to_db(self, api_name: str, endpoint_url: str, data: Any,
+                        session_id: str, fetch_duration: int, record_count: int,
+                        data_size: int, status: str):
+        """Save data to database"""
+        conn = sqlite3.connect(DB_PATH)
+        cursor = conn.cursor()
+        
+        try:
+            # Create data hash for deduplication
+            data_str = json.dumps(data, sort_keys=True, default=str)
+            data_hash = hashlib.sha256(data_str.encode()).hexdigest()
+            
+            # Check if data exists
+            cursor.execute('SELECT id FROM harvested_data WHERE data_hash = ?', (data_hash,))
+            if cursor.fetchone():
+                return  # Skip duplicate
+            
+            # Compress if large
+            raw_data = None
+            compressed_data = None
+            
+            if data_size > 1024:
+                try:
+                    compressed_data = gzip.compress(data_str.encode('utf-8'))
+                except:
+                    raw_data = data_str
+            else:
+                raw_data = data_str
+            
+            # Insert data
+            cursor.execute('''
+                INSERT INTO harvested_data 
+                (api_name, endpoint_url, data_hash, raw_data, compressed_data,
+                 record_count, data_size_bytes, fetch_duration_ms, status, session_id)
+                VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+            ''', (
+                api_name, endpoint_url, data_hash, raw_data, compressed_data,
+                record_count, data_size, fetch_duration, status, session_id
+            ))
+            
+            conn.commit()
+            
+        except Exception as e:
+            pass  # Silent fail for database errors
+                
+        finally:
+            conn.close()
+
+def get_database_stats():
+    """Get database statistics"""
+    conn = sqlite3.connect(DB_PATH)
+    cursor = conn.cursor()
+    
+    try:
+        cursor.execute('SELECT COUNT(*) FROM harvested_data')
+        total_records = cursor.fetchone()[0]
+        
+        cursor.execute('SELECT COUNT(DISTINCT api_name) FROM harvested_data')
+        active_apis = cursor.fetchone()[0]
+        
+        cursor.execute('SELECT SUM(record_count) FROM harvested_data')
+        total_data_records = cursor.fetchone()[0] or 0
+        
+        return {
+            "total_records": total_records,
+            "active_apis": active_apis,
+            "total_data_records": total_data_records
+        }
+    finally:
+        conn.close()
+
+# Initialize database
+init_database()
+
+# Initialize components
+if 'harvester' not in st.session_state:
+    st.session_state.harvester = SimplifiedDataHarvester()
+
+if 'last_results' not in st.session_state:
+    st.session_state.last_results = None
+
+# Header
+st.markdown("""
+<div class="title-container">
+    <h1 style="font-size: 2.5rem; margin: 0; color: #2c3e50;">
+        🚀 Simplified Data Harvester
+    </h1>
+    <p style="font-size: 1.1rem; margin: 0.5rem 0 0 0; color: #34495e;">
+        One-Click Data Collection from All APIs
+    </p>
+    <p style="font-size: 0.95rem; margin: 0.3rem 0 0 0; color: #7f8c8d;">
+        Automatic data fetching from 10 international sources with smart database storage
+    </p>
+</div>
+""", unsafe_allow_html=True)
+
+# Display ML status
+if ML_AVAILABLE:
+    st.success("🤖 **AI Enhanced** - Quality assessment and analysis active")
+else:
+    st.info("📊 **Standard Mode** - Core functionality available")
+
+# Main Action Section
+st.markdown("### 🚀 Data Collection")
+
+# Show API status
+col1, col2 = st.columns([2, 1])
+
+with col1:
+    st.markdown("**Available APIs:**")
+    
+    # Display APIs in a compact format
+    for api_name, config in SIMPLIFIED_API_CONFIG.items():
+        st.markdown(f"✅ **{config['name']}** - {config['description']}")
+
+with col2:
+    # Database quick stats
+    try:
+        stats = get_database_stats()
+        st.metric("📊 Total Records", f"{stats.get('total_records', 0):,}")
+        st.metric("🌍 Active APIs", stats.get('active_apis', 0))
+        st.metric("📄 Data Records", f"{stats.get('total_data_records', 0):,}")
+    except:
+        st.metric("📊 Total Records", "0")
+        st.metric("🌍 Active APIs", "0")
+
+st.markdown("---")
+
+# Single button to fetch all data
+col1, col2, col3 = st.columns([1, 2, 1])
+
+with col2:
+    if st.button("🚀 FETCH ALL DATA FROM ALL APIS", 
+                type="primary", 
+                use_container_width=True,
+                help="Automatically collect data from all 10 APIs and save to database"):
+        
+        # Progress tracking
+        status_container = st.empty()
+        progress_bar = st.progress(0)
+        
+        def update_progress(message):
+            status_container.text(message)
+        
+        # Execute the one-click data collection
+        with st.spinner("🔄 Collecting data from all APIs..."):
+            results = st.session_state.harvester.fetch_all_apis(update_progress)
+            st.session_state.last_results = results
+        
+        progress_bar.progress(1.0)
+        status_container.text("✅ Collection completed!")
+        
+        # Show results
+        summary = results['summary']
+        
+        # Success metrics
+        col1, col2, col3, col4 = st.columns(4)
+        
+        with col1:
+            st.metric("✅ Successful APIs", summary['successful'])
+        
+        with col2:
+            st.metric("❌ Failed APIs", summary['failed'])
+        
+        with col3:
+            st.metric("📊 Success Rate", f"{summary['success_rate']:.1f}%")
+        
+        with col4:
+            total_records = sum(api_data['total_records'] for api_data in results['results'].values())
+            st.metric("📄 Total Records", f"{total_records:,}")
+        
+        # Detailed results
+        st.markdown("### 📋 Detailed Results")
+        
+        for api_name, api_data in results['results'].items():
+            with st.expander(f"✅ {SIMPLIFIED_API_CONFIG[api_name]['name']} - {api_data['total_records']} records"):
+                for endpoint in api_data['endpoints']:
+                    st.write(f"**URL:** {endpoint['endpoint_url']}")
+                    st.write(f"**Records:** {endpoint['records']} | **Duration:** {endpoint['duration_ms']}ms | **Size:** {endpoint['size_bytes']} bytes")
+                    
+                    if endpoint.get('data_preview'):
+                        with st.expander("👁️ Data Preview"):
+                            st.text(endpoint['data_preview'])
+        
+        # Error details
+        if results['errors']:
+            st.markdown("### ❌ Error Details")
+            for api_name, error in results['errors'].items():
+                st.error(f"**{SIMPLIFIED_API_CONFIG[api_name]['name']}:** {error}")
+
+# Show last results if available
+if st.session_state.last_results:
+    st.markdown("---")
+    st.markdown("### 📊 Quick Analytics")
+    
+    results = st.session_state.last_results
+    
+    # Create simple visualizations
+    if results['results']:
+        # API success chart
+        api_names = []
+        record_counts = []
+        
+        for api_name, api_data in results['results'].items():
+            api_names.append(SIMPLIFIED_API_CONFIG[api_name]['name'])
+            record_counts.append(api_data['total_records'])
+        
+        if record_counts and any(count > 0 for count in record_counts):
+            fig = px.bar(
+                x=api_names,
+                y=record_counts,
+                title="📊 Records Collected by API",
+                labels={'x': 'API', 'y': 'Records'}
+            )
+            fig.update_layout(
+                paper_bgcolor="rgba(255,255,255,0.9)",
+                plot_bgcolor="rgba(255,255,255,0.9)",
+                font_color="#2c3e50"
+            )
+            st.plotly_chart(fig, use_container_width=True)
+
+# Database viewer
+with st.expander("🗄️ Database Viewer"):
+    try:
+        conn = sqlite3.connect(DB_PATH)
+        df = pd.read_sql_query('''
+            SELECT api_name, endpoint_url, record_count, data_size_bytes, 
+                   fetch_timestamp, status 
+            FROM harvested_data 
+            ORDER BY fetch_timestamp DESC 
+            LIMIT 100
+        ''', conn)
+        conn.close()
+        
+        if not df.empty:
+            st.dataframe(df, use_container_width=True)
+        else:
+            st.info("No data in database yet. Run the data collection first!")
+    except Exception as e:
+        st.error(f"Database error: {e}")
+
+# Footer
+st.markdown("---")
+st.markdown("""
+<div style="text-align: center; padding: 1rem; background: rgba(255,255,255,0.8); border-radius: 10px; color: #2c3e50;">
+    <p><strong>🚀 Simplified Data Harvester</strong> - Easy one-click data collection</p>
+    <p style="font-size: 0.9rem; color: #7f8c8d;">
+        ✅ 10 APIs • 🗄️ Smart storage • 📊 Auto-analytics • 🔍 Real-time preview
+    </p>
+</div>
+""", unsafe_allow_html=True)