domain_subdomain.py

domains_and_subdomains = {
  "domains": {
    "GEN": "General",
    "EDU": "Educational",
    "JUD": "Judiciary",
    "GOV": "Governance",
    "SAT": "Science and Technology",
    "CLI": "Climate",
    "AGRI": "Agriculture",
    "TOUR": "Tourism",
    "HC": "Healthcare",
  },
  "subdomains": {
    "GEN": [
        {"name": "General", "mnemonic": "GGEN"},
        {"name": "News", "mnemonic": "NEWS"},
        {"name": "Entertainment", "mnemonic": "ENT"},
        {"name": "Sports", "mnemonic": "SPRT"},
        {"name": "Finance", "mnemonic": "FIN"},
        {"name": "Technology", "mnemonic": "TECH"},
        {"name": "Health and Wellness", "mnemonic": "HW"},
        {"name": "Travel and Adventure", "mnemonic": "TRAV"},
        {"name": "Science and Nature", "mnemonic": "SCI"},
        {"name": "History and Culture", "mnemonic": "HIST"},
        {"name": "Automotive", "mnemonic": "AUTO"},
        {"name": "Gaming", "mnemonic": "GAME"},
        {"name": "Air Traffic Control", "mnemonic": "ATC"},
        {"name": "Police Radio Communications", "mnemonic": "PRC"},
    ],
    "EDU": [
      {"name": "Physics", "mnemonic": "PHY"},
      {"name": "Chemistry", "mnemonic": "CHEM"},
      {"name": "Maths", "mnemonic": "MTH"},
      {"name": "Scholarly Articles", "mnemonic": "SCH"},
      {"name": "Journal", "mnemonic": "JNL"},
      {"name": "Social Sciences", "mnemonic": "SST"},
      {"name": "Humanities", "mnemonic": "HSS"},
      {"name": "Arts and Culture", "mnemonic": "ART"},
    ],
    "JUD": [
      {"name": "Constituional Text", "mnemonic": "CONS"},
      {"name": "Legislation", "mnemonic": "LEG"},
      {"name": "Rules and Regulation", "mnemonic": "REG"},
      {"name": "Case Judgements", "mnemonic": "JUDG"},
      {"name": "Arbitration", "mnemonic": "ARB"},
      {"name": "Court Transcripts", "mnemonic": "TRNS"},
      {"name": "Pleadings", "mnemonic": "PLD"},
      {"name": "Court Briefings", "mnemonic": "BRF"},
      {"name": "Evidence records", "mnemonic": "EVD"},
      {"name": "FIR", "mnemonic": "FIR"},
      {"name": "Criminal", "mnemonic": "CMNL"},
      {"name": "Forensic Reports", "mnemonic": "FRNS"},
      {"name": "Civial", "mnemonic": "CVL"},
      {"name": "Contracts and Agreements", "mnemonic": "CNRT"},
      {"name": "Affidavits", "mnemonic": "AFDT"},
      {"name": "Petitions and Forms", "mnemonic": "PTN"},
    ],
    "GOV": [
      {"name": "Government & Policies", "mnemonic": "MEA"},
      {"name": "MP GOV", "mnemonic": "MPGOV"},
      {"name": "State Budget Speeches", "mnemonic": "SBS"},
      {"name": "Union Budget Speeches", "mnemonic": "UBS"},
      {"name": "Presidential Address", "mnemonic": "PRA"},
      {"name": "PM Speeches", "mnemonic": "PMS"},
      {"name": "Lok Sabha Debates", "mnemonic": "LSD"},
      {"name": "Niti Ayog Reports", "mnemonic": "NAR"},
      {"name": "Press Information Bureau", "mnemonic": "PIB"},
      {"name": "Government Information Bulletin", "mnemonic": "GIB"},
      {"name": "Department of Health and Family Welfare", "mnemonic": "DHF"},
      {"name": "Important Parliamentary Terms", "mnemonic": "IPT"},
      {"name": "Rules of Procedure and Conduct of Business in the Council of States (Rajya Sabha)", "mnemonic": "RPR"},
      {"name": "Chief Minister speeches", "mnemonic": "CMS"},
      {"name": "Tamil press release", "mnemonic": "TPR"},
    ],
    "SAT": [
      {"name": "Physics", "mnemonic": "PHY"},
      {"name": "Quantum Mechanics", "mnemonic": "QTM"},
      {"name": "Electromagnetics", "mnemonic": "EMS"},
      {"name": "Optics", "mnemonic": "OPS"},
      {"name": "Fluid Dynamics", "mnemonic": "FDY"},
      {"name": "Electronics", "mnemonic": "ELEC"},
      {"name": "Electromagnetism", "mnemonic": "ETMG"},
      {"name": "Chemistry", "mnemonic": "CHEM"},
      {"name": "Physical Chemistry", "mnemonic": "PCH"},
      {"name": "Organic Chemistry", "mnemonic": "OCH"},
      {"name": "Inorganic Chemistry", "mnemonic": "ICH"},
      {"name": "Analytical Chemistry", "mnemonic": "ACH"},
      {"name": "Mathematics", "mnemonic": "MTH"},
      {"name": "Algebra", "mnemonic": "ALG"},
      {"name": "Arithmetic", "mnemonic": "ARM"},
      {"name": "Calculus", "mnemonic": "CAL"},
      {"name": "Geometry", "mnemonic": "GEM"},
      {"name": "Number Theory", "mnemonic": "NTH"},
      {"name": "Probability", "mnemonic": "PRB"},
      {"name": "Statistics", "mnemonic": "STAT"},
      {"name": "Trigonometry", "mnemonic": "TRG"},
      {"name": "Biology", "mnemonic": "BIO"},
      {"name": "Botany", "mnemonic": "BOT"},
      {"name": "Zoology", "mnemonic": "ZOO"},
      {"name": "Biotechnology", "mnemonic": "BIT"},
      {"name": "Biochemistry", "mnemonic": "BCH"},
      {"name": "Microbiology", "mnemonic": "MIB"},
      {"name": "Virology", "mnemonic": "VLY"},
      {"name": "Cell biology", "mnemonic": "CBY"},
      {"name": "Genetics", "mnemonic": "GEN"},
      {"name": "Computer Science", "mnemonic": "CSC"},
      {"name": "Computer Vision", "mnemonic": "COMVI"},
      {"name": "Natural Language Processing", "mnemonic": "NLP"},
      {"name": "Machine Learning", "mnemonic": "ML"},
      {"name": "Network Security", "mnemonic": "NSC"},
      {"name": "Algorithm Design", "mnemonic": "ADG"},
    ],
    "CLI": [
      {"name": "Global Warming", "mnemonic": "GWR"},
      {"name": "Greenhouse Gases", "mnemonic": "GHG"},
      {"name": "Carbon Cycle", "mnemonic": "CSC"},
      {"name": "Sea Level Rise", "mnemonic": "SLR"},
      {"name": "ecology", "mnemonic": "ECO"},
      {"name": "weather", "mnemonic": "WTR"},
      {"name": "ecosystems", "mnemonic": "ECS"},
      {"name": "Climate Action", "mnemonic": "CLA"},
      {"name": "Adaptation", "mnemonic": "ADP"},
      {"name": "Sustainability", "mnemonic": "SUS"},
      {"name": "Decarbonization", "mnemonic": "DEC"},
      {"name": "Renewable Energy", "mnemonic": "REW"},
      {"name": "Climatology", "mnemonic": "CMY"},
      {"name": "flood", "mnemonic": "FLD"},
      {"name": "cyclone", "mnemonic": "CYC"},
      {"name": "winds", "mnemonic": "WND"},
      {"name": "atmospheric pressure", "mnemonic": "ATP"},
      {"name": "temperature", "mnemonic": "TMP"},
      {"name": "drought", "mnemonic": "DRT"},
      {"name": "jet stream", "mnemonic": "JST"},
    ],
    "AGRI": [
      {"name": "Farming Practices", "mnemonic": "FARM"},
      {"name": "Crops and Cultivation", "mnemonic": "CROP"},
      {"name": "Livestock Management", "mnemonic": "LIVE"},
      {"name": "Agri-Tech and Innovations", "mnemonic": "ATECH"},
      {"name": "Government Schemes and Policies", "mnemonic": "GOV"},
      {"name": "Supply Chain and Marketing", "mnemonic": "MKT"},
      {"name": "Rural Economy and Employment", "mnemonic": "ECO"},
      {"name": "Irrigation and Water Management", "mnemonic": "IRRI"},
      {"name": "Soil and Fertilizers", "mnemonic": "SOFT"},
      {"name": "Pest and Disease Management", "mnemonic": "PEST"},
    ],
    "TOUR": [
      {"name": "Travel Destinations", "mnemonic": "DEST"},
      {"name": "Adventure Tourism", "mnemonic": "ADVN"},
      {"name": "Cultural Tourism", "mnemonic": "CULT"},
      {"name": "Eco and Sustainable Tourism", "mnemonic": "SUS"},
      {"name": "Religious Tourism", "mnemonic": "REL"},
      {"name": "Medical Tourism", "mnemonic": "MED"},
      {"name": "Government Initiatives", "mnemonic": "GOV"},
      {"name": "Hospitality and Services", "mnemonic": "HOST"},
      {"name": "Food and Culinary Tourism", "mnemonic": "FOOD"},
      {"name": "Heritage and Architecture", "mnemonic": "ARCH"},
    ],
    "HC": [
      {"name": "Awareness", "mnemonic": "AWR"},
      {"name": "Physical health", "mnemonic": "PH"},
      {"name": "Digital Health and Medi- engineering", "mnemonic": "DHME"},
      {"name": "Medi- Finances", "mnemonic": "MEDFI"},
      {"name": "Medical Consents ", "mnemonic": "MCON"},
      {"name": "Mental Health", "mnemonic": "MHEAL"},
      {"name": "Women health and Maternity", "mnemonic": "WHM"},
      {"name": "Child health and welfare", "mnemonic": "CHW"},
      {"name": "Pandamic", "mnemonic": "PAN"},
      {"name": "Pharma", "mnemonic": "PHAR"},
      {"name": "Homeopathy", "mnemonic": "HOM"},
      {"name": "Ayurveda", "mnemonic": "AYU"},
    ],
  },
}

def get_all_domains():
    """Return a dictionary of all domain codes and their names."""
    return domains_and_subdomains["domains"]

def get_domain_name(domain_code):
    """Get the full name of a domain given its code."""
    return domains_and_subdomains["domains"].get(domain_code)

def get_domain_subdomains(domain_code):
    """Get all subdomains for a specific domain."""
    return domains_and_subdomains["subdomains"].get(domain_code, [])

def get_subdomain_by_mnemonic(domain_code, subdomain_mnemonic):
    """Get subdomain information by its mnemonic within a domain."""
    subdomains = get_domain_subdomains(domain_code)
    for subdomain in subdomains:
        if subdomain["mnemonic"] == subdomain_mnemonic:
            return subdomain
    return None

def search_subdomain(query, domain_code=None):
    """Search for a subdomain by name or mnemonic across all domains or a specific domain."""
    results = []
    query = query.lower()
    
    if domain_code:
        domains_to_search = [domain_code]
    else:
        domains_to_search = domains_and_subdomains["domains"].keys()
        
    for domain in domains_to_search:
        subdomains = get_domain_subdomains(domain)
        for subdomain in subdomains:
            if query in subdomain["name"].lower() or query in subdomain["mnemonic"].lower():
                results.append({
                    "domain": domain,
                    "domain_name": get_domain_name(domain),
                    "subdomain": subdomain
                })
    return results