-- Enable the pgvector extension to work with embeddings
CREATE EXTENSION IF NOT EXISTS vector;

-- Users Table (Recruiters / Managers)
CREATE TABLE IF NOT EXISTS users (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  email TEXT UNIQUE NOT NULL,
  role TEXT NOT NULL CHECK (role IN ('recruiter', 'manager')),
  created_at TIMESTAMP WITH TIME ZONE DEFAULT timezone('utc'::text, now()) NOT NULL
);

-- Jobs Table
CREATE TABLE IF NOT EXISTS jobs (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  title TEXT NOT NULL,
  description TEXT NOT NULL,
  requirements TEXT,
  embedding vector(1536),
  created_at TIMESTAMP WITH TIME ZONE DEFAULT timezone('utc'::text, now()) NOT NULL
);

-- Candidates Table
CREATE TABLE IF NOT EXISTS candidates (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  name TEXT NOT NULL,
  email TEXT UNIQUE NOT NULL,
  phone TEXT,
  resume_url TEXT,
  summary TEXT,
  seniority TEXT,
  embedding vector(1536),
  created_at TIMESTAMP WITH TIME ZONE DEFAULT timezone('utc'::text, now()) NOT NULL
);

-- Interviews Table
CREATE TABLE IF NOT EXISTS interviews (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  candidate_id UUID REFERENCES candidates(id) ON DELETE CASCADE NOT NULL,
  job_id UUID REFERENCES jobs(id) ON DELETE CASCADE NOT NULL,
  scheduled_at TIMESTAMP WITH TIME ZONE NOT NULL,
  status TEXT NOT NULL CHECK (status IN ('scheduled', 'completed', 'cancelled')) DEFAULT 'scheduled',
  notes TEXT,
  created_at TIMESTAMP WITH TIME ZONE DEFAULT timezone('utc'::text, now()) NOT NULL
);

-- Scores Table
CREATE TABLE IF NOT EXISTS scores (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  candidate_id UUID REFERENCES candidates(id) ON DELETE CASCADE NOT NULL,
  job_id UUID REFERENCES jobs(id) ON DELETE CASCADE NOT NULL,
  interviewer_id UUID REFERENCES users(id) ON DELETE CASCADE,
  score NUMERIC NOT NULL CHECK (score >= 0 AND score <= 100),
  evaluation JSONB, -- MUST contain exactly: summary, classification, suggestions, riskLevel
  created_at TIMESTAMP WITH TIME ZONE DEFAULT timezone('utc'::text, now()) NOT NULL
);

-- RPC Function to Match Candidates using Cosine Distance
CREATE OR REPLACE FUNCTION match_candidates (
  query_embedding vector(1536),
  match_threshold FLOAT,
  match_count INT
)
RETURNS TABLE (
  id UUID,
  name TEXT,
  email TEXT,
  seniority TEXT,
  similarity FLOAT
)
LANGUAGE plpgsql
AS $$
BEGIN
  RETURN QUERY
  SELECT
    candidates.id,
    candidates.name,
    candidates.email,
    candidates.seniority,
    (1 - (candidates.embedding <=> query_embedding))::FLOAT AS similarity
  FROM candidates
  WHERE (1 - (candidates.embedding <=> query_embedding)) > match_threshold
  ORDER BY candidates.embedding <=> query_embedding ASC
  LIMIT match_count;
END;
$$;