transpordi_artiklid/fetch_articles/fetch_and_convert.py

#!/usr/bin/env python3
"""
Teadusartiklite CURL päring → Markdown → PDF konverter
Kasutab jq asemel Pythoni JSON parsimist, et vältida HTML/JSON escaping probleeme
"""

import subprocess
import json
import re
from datetime import datetime

# GraphQL päring
QUERY = {
    "query": "{ Get { ScientificArticle { title source_file summary_et transport_context } } }"
}

def fetch_articles():
    """Toob artiklid Weaviate GraphQL API-st"""
    print("📡 Toon artikleid GraphQL API-st...")
    
    try:
        result = subprocess.run(
            [
                'curl',
                '-s',
                'http://100.80.222.54:9020/v1/graphql',
                '-X', 'POST',
                '-H', 'Content-Type: application/json',
                '-d', json.dumps(QUERY)
            ],
            capture_output=True,
            text=True,
            timeout=30
        )
        
        if result.returncode != 0:
            print(f"❌ CURL viga: {result.stderr}")
            return None
            
        data = json.loads(result.stdout)
        articles = data.get('data', {}).get('Get', {}).get('ScientificArticle', [])
        print(f"✅ Leidsin {len(articles)} artiklit")
        return articles
        
    except Exception as e:
        print(f"❌ Viga: {e}")
        return None

def extract_transport_context(transport_context):
    """Eraldab transport_context JSON-i võtmväljad loetaval kujul"""
    
    if not transport_context:
        return "Andmeid pole saadaval"
    
    result_parts = []
    
    try:
        # Kui transport_context on string, parsime seda
        if isinstance(transport_context, str):
            # Eemalda HTML/JSON sildid
            text = transport_context
            text = re.sub(r'```json\s*', '', text)
            text = re.sub(r'\s*```', '', text)
            text = text.strip()
            
            # Proovime JSON-i parsida
            try:
                obj = json.loads(text)
            except:
                # Kui ei õnnestu, tagastame stringi
                return f"```\n{text[:500]}...\n```"
        else:
            obj = transport_context
        
        # Parsime 'analysis' välja kui see on string
        if isinstance(obj, dict) and 'analysis' in obj:
            analysis = obj['analysis']
            if isinstance(analysis, str):
                # Puhastame JSON markerid
                analysis = re.sub(r'```json\s*', '', analysis)
                analysis = re.sub(r'\s*```', '', analysis)
                analysis = analysis.strip()
                
                # Parsime JSON
                try:
                    analysis_obj = json.loads(analysis)
                    obj = analysis_obj
                except:
                    # Kui ei õnnestu, kasutame regex'i
                    pass
        
        # Eraldame võtmväljad
        if isinstance(obj, dict):
            
            # Teoreetiline panus
            if obj.get('theoretical_contribution'):
                result_parts.append(
                    "#### Teoreetiline panus\n\n" +
                    obj['theoretical_contribution']
                )
            
            # Praktiline rakendatavus
            if obj.get('practical_applicability'):
                result_parts.append(
                    "#### Praktiline rakendatavus\n\n" +
                    obj['practical_applicability']
                )
            
            # Probleemilahendus
            if obj.get('problem_solving'):
                result_parts.append(
                    "#### Probleemilahendus\n\n" +
                    obj['problem_solving']
                )
            
            # Piirangud
            if obj.get('limitations'):
                result_parts.append(
                    "#### Piirangud\n\n" +
                    obj['limitations']
                )
            
            # Relevantsuse skoor
            score = obj.get('relevance_score')
            if score is not None:
                result_parts.append(
                    f"**Relevantsuse skoor:** {score}/10"
                )
        
        return "\n\n".join(result_parts) if result_parts else "Andmeid pole saadaval"
        
    except Exception as e:
        return f"Viga parsimisega: {str(e)}"

def generate_markdown(articles):
    """Genereerib markdown faili artiklitest"""
    
    print("✍️  Genereerin markdown faili...")
    
    # CSS lehevahetuste jaoks
    css_header = """<style>
@media print {{
  h2 {{
    page-break-before: always;
  }}
  h2:first-of-type {{
    page-break-before: avoid;
  }}
}}
</style>

# Teadusartiklite analüüs ja transpordiplaneerimise kontekst

Eksporditud: **{timestamp}**  
Artikleid kokku: **{count}**

---

""".format(
        timestamp=datetime.now().strftime("%d.%m.%Y %H:%M"),
        count=len(articles)
    )
    
    # Genereerime artiklite sektsioonid
    content = css_header
    
    for i, article in enumerate(articles, 1):
        
        # Artikli pealkiri ja metadata
        content += f"\n## {i}. {article['title']}\n\n"
        
        # Allikfail
        source = article.get('source_file', 'N/A')
        if source:
            source_name = source.split('/')[-1]  # Võta ainult failinimi
            content += f"**Allikfail:** `{source_name}`\n\n"
        
        # Kokkuvõte
        summary = article.get('summary_et', '')
        if summary:
            content += "### Kokkuvõte (eesti keeles)\n\n"
            content += summary + "\n\n"
        
        # Transpordiplaneerimise kontekst
        transport = article.get('transport_context')
        if transport:
            content += "### Transpordiplaneerimise kontekst\n\n"
            context_text = extract_transport_context(transport)
            content += context_text + "\n\n"
        
        content += "---\n"
    
    # Lõppeinfo
    content += f"""
## Lõppinfo

- **Eksporditud:** {datetime.now().strftime("%d.%m.%Y %H:%M:%S")}
- **Kokku artikle:** {len(articles)}
- **Allikas:** Weaviate teadusartiklite andmebaas

Fail konverteeritud Markdown → PDF VS Code Markdown PDF laiendusega.
"""
    
    return content

def save_markdown(content, filepath):
    """Salvestab markdown failina"""
    try:
        with open(filepath, 'w', encoding='utf-8') as f:
            f.write(content)
        print(f"✅ Markdown fail salvestatud: {filepath}")
        return True
    except Exception as e:
        print(f"❌ Viga faili salvestamisel: {e}")
        return False

def main():
    print("=" * 60)
    print("TEADUSARTIKLITE EKSPORT MARKDOWN/PDF FORMAATI")
    print("=" * 60)
    
    # 1. Toome artikleid
    articles = fetch_articles()
    if not articles:
        print("❌ Viga: ei saanud artikleid tuua")
        return
    
    # 2. Genereerime markdown
    markdown = generate_markdown(articles)
    
    # 3. Salvestame
    output_path = "/home/ardo/Downloads/articles_with_transport_context.md"
    if save_markdown(markdown, output_path):
        print("\n" + "=" * 60)
        print("✅ VALMIS!")
        print("=" * 60)
        print(f"\n📄 Markdown fail: {output_path}")
        print("\n🚀 Järgmised sammud:")
        print("   1. Avage fail VS Code'is")
        print("   2. Paremklõps peal → 'Markdown PDF: Export (pdf)'")
        print("   3. PDF fail luuakse samasse kausta")
        print("\n💡 Nipp: Iga artikkel algab uuelt lehelt!")
    else:
        print("❌ Viga: ei saanud faili salvestada")

if __name__ == "__main__":
    main()