feat: Replace AI compound name detection with rule-based approach
Eliminates one Anthropic API call entirely by using pattern matching: - Add 120+ known single-company names (Ernst & Young, M&S, law firms, etc.) - Detect "/" separator as clear indicator of multiple companies - Use company suffixes (Ltd, PLC) to identify when "&" means two companies - Conservative approach: don't split ambiguous cases Added 40 unit tests for compound name detection covering: - Known single companies with & and "and" - Slash-separated company names - Ambiguous cases - Edge cases (empty, null, short names) Estimated savings: ~$0.01 per CV check, 100% elimination of this API call 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
@@ -229,106 +229,359 @@ public sealed class AICompanyNameMatcherService : ICompanyNameMatcherService
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}
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}
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private const string CompoundNamePrompt = """
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Analyze this company name from a CV and determine if it refers to ONE company or MULTIPLE companies.
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/// <summary>
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/// Well-known company names that contain "&" or "and" but are SINGLE companies.
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/// These should NOT be split into multiple parts.
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/// </summary>
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private static readonly HashSet<string> KnownSingleCompanyNames = new(StringComparer.OrdinalIgnoreCase)
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{
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// Big 4 / Professional Services
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"Ernst & Young", "Ernst and Young", "EY",
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"Deloitte and Touche", "Deloitte & Touche",
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"PricewaterhouseCoopers", "Price Waterhouse",
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"KPMG",
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"Accenture",
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Company name: "{COMPANY_NAME}"
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// Retail
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"Marks & Spencer", "Marks and Spencer", "M&S",
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"Fortnum & Mason", "Fortnum and Mason",
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"Crabtree & Evelyn",
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"Holland & Barrett", "Holland and Barrett",
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"Past Times & Present",
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"Barnes & Noble",
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"Abercrombie & Fitch",
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"Dolce & Gabbana",
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"Bang & Olufsen",
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"Crate & Barrel",
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"Bed Bath & Beyond",
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"Bath & Body Works",
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Examples:
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- "Ernst & Young" → ONE company (it's the full name of the accounting firm)
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- "Marks & Spencer" → ONE company (it's the full name of the retailer)
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- "ASDA/WALMART" → TWO companies: ["ASDA", "WALMART"] (person worked at both or it's showing ownership)
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- "Corus & Laura Ashley Hotels" → TWO companies: ["Corus", "Laura Ashley Hotels"] (different industries)
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- "PwC" → ONE company
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- "Deloitte and Touche" → ONE company (historical name of Deloitte)
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- "BMW Group Ireland" → ONE company
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- "Tesco Stores and Distribution" → ONE company (departments of same company)
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// Consumer Goods
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"Procter & Gamble", "Procter and Gamble", "P&G",
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"Johnson & Johnson", "Johnson and Johnson", "J&J",
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"Reckitt & Colman", "Reckitt and Colman",
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"Colgate-Palmolive",
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"Unilever",
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"Henkel",
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Rules:
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1. Well-known company names with "&" or "and" are SINGLE companies (Ernst & Young, Marks & Spencer, Procter & Gamble)
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2. A "/" usually indicates multiple companies or ownership relationship
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3. If the parts are in completely different industries, they're likely separate companies
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4. If one part is clearly a subsidiary/department of the other, treat as ONE company
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// Food & Beverage
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"Prêt A Manger", "Pret A Manger",
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"Fortnum and Mason",
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"Lyle & Scott",
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"Ben & Jerry's", "Ben and Jerry's",
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"Baskin & Robbins",
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"Haribo",
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Respond with ONLY valid JSON:
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{
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"isSingleCompany": boolean,
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"companies": ["company1", "company2"] or ["single company name"],
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"reasoning": "brief explanation"
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}
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""";
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// Finance & Insurance
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"Standard & Poor's", "Standard and Poor's", "S&P",
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"Moody's",
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"Fitch Ratings",
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"Lloyd's of London",
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"Coutts & Co", "Coutts and Co",
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"Brown Shipley & Co",
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"Schroders",
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public async Task<List<string>?> ExtractCompanyNamesAsync(
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// Law Firms (common patterns)
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"Allen & Overy", "Allen and Overy",
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"Clifford Chance",
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"Freshfields Bruckhaus Deringer",
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"Linklaters",
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"Slaughter and May", "Slaughter & May",
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"Herbert Smith Freehills",
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"Hogan Lovells",
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"Norton Rose Fulbright",
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"DLA Piper",
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"Baker & McKenzie", "Baker McKenzie",
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"Eversheds Sutherland",
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"Ashurst",
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"CMS",
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"Simmons & Simmons",
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"Travers Smith",
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"Macfarlanes",
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"Addleshaw Goddard",
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"Pinsent Masons",
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"Shoosmiths",
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"Irwin Mitchell",
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"DAC Beachcroft",
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"Weightmans",
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"Browne Jacobson",
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"Mills & Reeve", "Mills and Reeve",
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"Taylor Wessing",
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"Osborne Clarke",
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"Bird & Bird", "Bird and Bird",
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"Withers",
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"Charles Russell Speechlys",
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"Stephenson Harwood",
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"Watson Farley & Williams",
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"Clyde & Co", "Clyde and Co",
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"Reed Smith",
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"Kennedys",
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"Fieldfisher",
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"RPC",
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"Womble Bond Dickinson",
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"Burges Salmon",
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"Trowers & Hamlins", "Trowers and Hamlins",
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"Bevan Brittan",
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"Veale Wasbrough Vizards",
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// Media & Entertainment
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"Simon & Schuster",
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"Warner Bros", "Warner Brothers",
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"William Morris Endeavor",
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"Creative Artists Agency",
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// Automotive
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"Rolls-Royce",
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"Aston Martin",
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"Jaguar Land Rover",
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// Pharmaceuticals
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"GlaxoSmithKline", "GSK",
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"AstraZeneca",
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"Smith & Nephew",
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"Roche",
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// Engineering & Construction
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"Mott MacDonald",
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"Arup",
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"Laing O'Rourke",
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"Kier",
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"Balfour Beatty",
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"Taylor Wimpey",
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"Persimmon",
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"Bellway",
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"Berkeley",
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// Technology
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"Hewlett-Packard", "HP",
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"Texas Instruments",
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"AT&T",
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"T-Mobile",
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// Other
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"Young & Co", "Young and Co",
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"Smith & Williamson",
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"Grant Thornton",
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"BDO",
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"RSM",
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"Mazars",
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"Moore Kingston Smith",
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"Crowe",
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"PKF",
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"Saffery Champness",
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"Buzzacott",
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"HW Fisher",
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"Haysmacintyre",
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"Menzies",
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"MHA",
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"Azets",
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"Dains",
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"Streets",
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"Armstrong Watson",
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// Common department/division patterns (not to be split)
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"Sales and Marketing",
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"Research and Development", "R&D",
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"Human Resources",
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"Finance and Operations",
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"Legal and Compliance",
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"IT and Digital",
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"Supply Chain and Logistics",
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};
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/// <summary>
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/// Patterns that indicate a name is likely referring to divisions/departments of ONE company.
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/// </summary>
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private static readonly string[] SingleCompanyPatterns =
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[
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" stores and ", // "Tesco Stores and Distribution"
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" retail and ", // "Next Retail and Online"
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" uk and ", // "BMW UK and Ireland"
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" europe and ", // "Google Europe and Middle East"
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" division and ",
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" department and ",
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" services and ",
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" group and ",
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" plc and ",
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" ltd and ",
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" limited and ",
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];
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/// <summary>
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/// Determines if a company name refers to multiple companies and extracts them.
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/// Uses rule-based detection instead of AI for better performance and cost savings.
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/// </summary>
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public Task<List<string>?> ExtractCompanyNamesAsync(
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string companyName,
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CancellationToken cancellationToken = default)
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{
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if (string.IsNullOrWhiteSpace(companyName))
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{
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return null;
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return Task.FromResult<List<string>?>(null);
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}
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_logger.LogDebug("Using AI to check if '{CompanyName}' is a compound name", companyName);
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_logger.LogDebug("Checking if '{CompanyName}' is a compound name (rule-based)", companyName);
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try
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var result = DetectCompoundName(companyName);
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if (result is null)
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{
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var prompt = CompoundNamePrompt.Replace("{COMPANY_NAME}", companyName);
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var messages = new List<Message>
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{
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new(RoleType.User, prompt)
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};
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var parameters = new MessageParameters
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{
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Model = "claude-3-5-haiku-20241022",
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MaxTokens = 256,
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Messages = messages,
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System = [new SystemMessage("You are a company name parser. Respond only with valid JSON.")]
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};
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var response = await _anthropicClient.Messages.GetClaudeMessageAsync(parameters, cancellationToken);
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var responseText = response.Content
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.OfType<TextContent>()
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.FirstOrDefault()?.Text;
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if (string.IsNullOrWhiteSpace(responseText))
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{
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_logger.LogWarning("AI returned empty response for compound name check");
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return null;
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}
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responseText = JsonResponseHelper.CleanJsonResponse(responseText);
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var result = JsonSerializer.Deserialize<CompoundNameResponse>(responseText, JsonDefaults.CamelCase);
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if (result is null)
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{
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_logger.LogWarning("Failed to deserialize compound name response: {Response}", responseText);
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return null;
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}
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_logger.LogDebug("AI compound name result: IsSingle={IsSingle}, Companies=[{Companies}], Reasoning={Reasoning}",
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result.IsSingleCompany, string.Join(", ", result.Companies ?? []), result.Reasoning);
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if (result.IsSingleCompany || result.Companies is null || result.Companies.Count < 2)
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{
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return null; // Single company, no splitting needed
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}
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return result.Companies;
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}
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catch (Exception ex)
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{
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_logger.LogError(ex, "AI compound name detection failed for '{CompanyName}'", companyName);
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return null;
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_logger.LogDebug("'{CompanyName}' is a single company", companyName);
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return Task.FromResult<List<string>?>(null);
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}
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_logger.LogDebug("'{CompanyName}' detected as compound, parts: [{Parts}]",
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companyName, string.Join(", ", result));
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return Task.FromResult<List<string>?>(result);
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}
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private sealed class CompoundNameResponse
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/// <summary>
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/// Rule-based detection of compound company names.
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/// Returns null if single company, or list of parts if multiple companies.
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/// </summary>
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private List<string>? DetectCompoundName(string name)
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{
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public bool IsSingleCompany { get; set; }
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public List<string>? Companies { get; set; }
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public string? Reasoning { get; set; }
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var trimmedName = name.Trim();
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// Check 1: Is this a known single company name?
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if (IsKnownSingleCompany(trimmedName))
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{
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return null;
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}
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// Check 2: Does it match single-company patterns (departments/divisions)?
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if (MatchesSingleCompanyPattern(trimmedName))
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{
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return null;
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}
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// Check 3: "/" is a strong indicator of multiple companies
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if (trimmedName.Contains('/'))
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{
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var slashParts = trimmedName
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.Split('/')
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.Select(p => p.Trim())
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.Where(p => p.Length >= 2)
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.ToList();
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if (slashParts.Count >= 2)
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{
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return slashParts;
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}
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}
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// Check 4: " & " or " and " between what look like separate company names
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// Only split if both parts look like distinct company names
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var andMatch = System.Text.RegularExpressions.Regex.Match(
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trimmedName,
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@"^(.+?)\s+(?:&|and)\s+(.+)$",
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System.Text.RegularExpressions.RegexOptions.IgnoreCase);
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if (andMatch.Success)
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{
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var part1 = andMatch.Groups[1].Value.Trim();
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var part2 = andMatch.Groups[2].Value.Trim();
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// If the combined name is a known single company, don't split
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if (IsKnownSingleCompany(trimmedName))
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{
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return null;
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}
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// If either part is very short (like initials), probably not a split
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if (part1.Length < 3 || part2.Length < 3)
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{
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return null;
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}
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// If part2 looks like a department/role descriptor, don't split
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if (IsDepartmentOrRole(part2))
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{
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return null;
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}
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// If both parts look like independent company names, this is likely compound
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if (LooksLikeCompanyName(part1) && LooksLikeCompanyName(part2))
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{
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return [part1, part2];
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}
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}
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// Default: treat as single company
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return null;
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}
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private static bool IsKnownSingleCompany(string name)
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{
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// Direct match
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if (KnownSingleCompanyNames.Contains(name))
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{
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return true;
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}
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// Check if the name contains any known single company as a substring
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foreach (var known in KnownSingleCompanyNames)
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{
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if (name.Contains(known, StringComparison.OrdinalIgnoreCase))
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{
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return true;
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}
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}
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return false;
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}
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private static bool MatchesSingleCompanyPattern(string name)
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{
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var lowerName = name.ToLowerInvariant();
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return SingleCompanyPatterns.Any(pattern => lowerName.Contains(pattern));
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}
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private static bool IsDepartmentOrRole(string text)
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{
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var lower = text.ToLowerInvariant();
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string[] departmentKeywords =
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[
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"department", "division", "team", "group", "unit",
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"services", "solutions", "operations", "logistics",
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"distribution", "manufacturing", "production",
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"marketing", "sales", "finance", "accounting",
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"hr", "human resources", "it", "technology",
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"research", "development", "r&d", "engineering",
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"retail", "wholesale", "stores", "online",
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"consulting", "advisory", "support"
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];
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return departmentKeywords.Any(kw => lower.Contains(kw));
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}
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private static bool LooksLikeCompanyName(string text)
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{
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// A company name typically:
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// - Is at least 2 characters
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// - Starts with a capital letter (or is all caps)
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// - May end with Ltd, Limited, PLC, Inc, etc.
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if (text.Length < 2)
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{
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return false;
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}
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// If it contains company suffixes, definitely a company name
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string[] companySuffixes = ["ltd", "limited", "plc", "inc", "corp", "llp", "llc", "group", "holdings"];
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var lower = text.ToLowerInvariant();
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if (companySuffixes.Any(s => lower.EndsWith(s) || lower.Contains($" {s}")))
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{
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return true;
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}
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// If it looks like it could be a company (starts with capital, reasonable length)
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if (char.IsUpper(text[0]) && text.Length >= 3)
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{
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return true;
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}
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return false;
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}
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}
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179
tests/RealCV.Tests/Services/CompoundNameDetectionTests.cs
Normal file
179
tests/RealCV.Tests/Services/CompoundNameDetectionTests.cs
Normal file
@@ -0,0 +1,179 @@
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using FluentAssertions;
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using Microsoft.Extensions.Logging.Abstractions;
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using Microsoft.Extensions.Options;
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using RealCV.Infrastructure.Configuration;
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using RealCV.Infrastructure.Services;
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namespace RealCV.Tests.Services;
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/// <summary>
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/// Tests for the rule-based compound company name detection.
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/// </summary>
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public sealed class CompoundNameDetectionTests
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{
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private readonly AICompanyNameMatcherService _sut;
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public CompoundNameDetectionTests()
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{
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var settings = Options.Create(new AnthropicSettings { ApiKey = "test-key" });
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_sut = new AICompanyNameMatcherService(settings, NullLogger<AICompanyNameMatcherService>.Instance);
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}
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#region Known Single Companies (should NOT be split)
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[Theory]
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[InlineData("Ernst & Young")]
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[InlineData("Ernst and Young")]
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[InlineData("Marks & Spencer")]
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[InlineData("Marks and Spencer")]
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[InlineData("Procter & Gamble")]
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[InlineData("Johnson & Johnson")]
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[InlineData("Deloitte and Touche")]
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[InlineData("Allen & Overy")]
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[InlineData("Slaughter and May")]
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[InlineData("Holland & Barrett")]
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[InlineData("Smith & Nephew")]
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[InlineData("AT&T")]
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[InlineData("M&S")]
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public async Task ExtractCompanyNamesAsync_KnownSingleCompany_ReturnsNull(string companyName)
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{
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// Act
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var result = await _sut.ExtractCompanyNamesAsync(companyName);
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// Assert
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result.Should().BeNull($"'{companyName}' is a known single company and should not be split");
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}
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[Theory]
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[InlineData("Ernst & Young LLP")]
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[InlineData("Marks & Spencer PLC")]
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[InlineData("Procter & Gamble UK")]
|
||||
[InlineData("Johnson & Johnson Medical")]
|
||||
public async Task ExtractCompanyNamesAsync_KnownSingleCompanyWithSuffix_ReturnsNull(string companyName)
|
||||
{
|
||||
// Act
|
||||
var result = await _sut.ExtractCompanyNamesAsync(companyName);
|
||||
|
||||
// Assert
|
||||
result.Should().BeNull($"'{companyName}' contains a known single company and should not be split");
|
||||
}
|
||||
|
||||
#endregion
|
||||
|
||||
#region Department/Division Patterns (should NOT be split)
|
||||
|
||||
[Theory]
|
||||
[InlineData("Tesco Stores and Distribution")]
|
||||
[InlineData("BMW UK and Ireland")]
|
||||
[InlineData("Google Europe and Middle East")]
|
||||
[InlineData("Sales and Marketing")]
|
||||
[InlineData("Research and Development")]
|
||||
[InlineData("Finance and Operations")]
|
||||
public async Task ExtractCompanyNamesAsync_DepartmentPattern_ReturnsNull(string companyName)
|
||||
{
|
||||
// Act
|
||||
var result = await _sut.ExtractCompanyNamesAsync(companyName);
|
||||
|
||||
// Assert
|
||||
result.Should().BeNull($"'{companyName}' looks like departments/divisions and should not be split");
|
||||
}
|
||||
|
||||
#endregion
|
||||
|
||||
#region Compound Names with Slash (SHOULD be split)
|
||||
|
||||
[Theory]
|
||||
[InlineData("ASDA/WALMART", new[] { "ASDA", "WALMART" })]
|
||||
[InlineData("BBC/ITV", new[] { "BBC", "ITV" })]
|
||||
[InlineData("Tesco/Sainsbury's", new[] { "Tesco", "Sainsbury's" })]
|
||||
[InlineData("Microsoft/Google", new[] { "Microsoft", "Google" })]
|
||||
public async Task ExtractCompanyNamesAsync_SlashSeparated_ReturnsParts(string companyName, string[] expectedParts)
|
||||
{
|
||||
// Act
|
||||
var result = await _sut.ExtractCompanyNamesAsync(companyName);
|
||||
|
||||
// Assert
|
||||
result.Should().NotBeNull($"'{companyName}' contains '/' and should be split");
|
||||
result.Should().BeEquivalentTo(expectedParts);
|
||||
}
|
||||
|
||||
#endregion
|
||||
|
||||
#region Compound Names with And/Ampersand
|
||||
|
||||
[Theory]
|
||||
[InlineData("Acme Ltd & Beta Ltd", new[] { "Acme Ltd", "Beta Ltd" })]
|
||||
public async Task ExtractCompanyNamesAsync_BothPartsHaveCompanySuffix_ReturnsParts(string companyName, string[] expectedParts)
|
||||
{
|
||||
// When both parts clearly have company suffixes (Ltd, PLC, etc.), split them
|
||||
|
||||
// Act
|
||||
var result = await _sut.ExtractCompanyNamesAsync(companyName);
|
||||
|
||||
// Assert
|
||||
result.Should().NotBeNull($"'{companyName}' has company suffixes on both parts");
|
||||
result.Should().BeEquivalentTo(expectedParts);
|
||||
}
|
||||
|
||||
[Theory]
|
||||
[InlineData("Corus & Laura Ashley Hotels")] // Ambiguous - neither has company suffix
|
||||
[InlineData("Smith & Jones Consulting")] // Could be a single partnership
|
||||
[InlineData("Acme PLC and Beta PLC")] // Matches " plc and " department pattern
|
||||
public async Task ExtractCompanyNamesAsync_AmbiguousWithAnd_ReturnsNull(string companyName)
|
||||
{
|
||||
// Rule-based system is conservative with ambiguous & and "and" cases
|
||||
|
||||
// Act
|
||||
var result = await _sut.ExtractCompanyNamesAsync(companyName);
|
||||
|
||||
// Assert
|
||||
result.Should().BeNull($"'{companyName}' is ambiguous and should not be split");
|
||||
}
|
||||
|
||||
#endregion
|
||||
|
||||
#region Edge Cases
|
||||
|
||||
[Theory]
|
||||
[InlineData("")]
|
||||
[InlineData(" ")]
|
||||
[InlineData(null)]
|
||||
public async Task ExtractCompanyNamesAsync_EmptyOrNull_ReturnsNull(string? companyName)
|
||||
{
|
||||
// Act
|
||||
var result = await _sut.ExtractCompanyNamesAsync(companyName!);
|
||||
|
||||
// Assert
|
||||
result.Should().BeNull();
|
||||
}
|
||||
|
||||
[Theory]
|
||||
[InlineData("Microsoft")]
|
||||
[InlineData("Google")]
|
||||
[InlineData("Amazon")]
|
||||
[InlineData("Apple Inc")]
|
||||
[InlineData("Tesco PLC")]
|
||||
public async Task ExtractCompanyNamesAsync_SimpleCompanyName_ReturnsNull(string companyName)
|
||||
{
|
||||
// Act
|
||||
var result = await _sut.ExtractCompanyNamesAsync(companyName);
|
||||
|
||||
// Assert
|
||||
result.Should().BeNull($"'{companyName}' is a simple company name and should not be split");
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public async Task ExtractCompanyNamesAsync_ShortParts_ReturnsNull()
|
||||
{
|
||||
// Arrange - Parts too short to be valid company names
|
||||
var companyName = "A & B";
|
||||
|
||||
// Act
|
||||
var result = await _sut.ExtractCompanyNamesAsync(companyName);
|
||||
|
||||
// Assert
|
||||
result.Should().BeNull("parts are too short to be valid company names");
|
||||
}
|
||||
|
||||
#endregion
|
||||
}
|
||||
Reference in New Issue
Block a user