# prompts_v1.py
# Improved prompts with minimal changes - adapted for current project

import re

# Router schema (same as current project)
ROUTER_SCHEMA = {
    "type": "object",
    "additionalProperties": False,
    "properties": {
        "intent": {
            "type": "string",
            "enum": ["career", "personal", "contact_exchange", "other"]
        },
        "why_hire": {"type": "boolean"},
        "requires_contact": {"type": "boolean"},
        "confidence": {
            "type": "number",
            "minimum": 0.0,
            "maximum": 1.0
        },
        "matched_phrases": {
            "type": "array",
            "items": {"type": "string"},
            "default": []
        }
    },
    "required": ["intent", "why_hire", "requires_contact", "confidence", "matched_phrases"]
}

# Keep current WHY_HIRE_REGEX (same as original)
WHY_HIRE_REGEX = re.compile(
    r"""(?xi)
    (?:why\s+(?:should|would|could|can|do)\s*(?:we\s+)?hire\s+you) |
    (?:why\s+hire\s+you) |
    (?:why\s+are\s+you\s+(?:a|the)\s+(?:good\s+)?fit) |
    (?:what\s+makes\s+you\s+(?:a|the)\s+(?:good\s+)?fit) |
    (?:why\s+you\s+for\s+(?:this|the)\s+role) |
    (?:why\s+are\s+you\s+right\s+for\s+(?:this|the)\s+job) |
    (?:what\s+value\s+will\s+you\s+bring) |
    (?:give\s+me\s+your\s+(?:pitch|elevator\s+pitch)) |
    (?:sell\s+yourself)
    """
)

# IMPROVEMENT: Pitch with short/long variants
def canonical_why_hire_pitch(short: bool = False) -> str:
    """
    Returns a concise or detailed pitch.
    - short=True: 2-3 sentences for quick replies.
    - short=False: fuller version with bullets.
    """
    if short:
        return (
            "I ship reliable, production-grade software quickly and back it with measurable impact. "
            "Recently I cut API latency by 81% for an AI SaaS and launched a Next.js 15 IDE on Vercel. "
            "I own delivery end-to-end, communicate clearly, and use AI where it genuinely moves the needle."
        )

    return (
        "I deliver reliable, production-grade software at high velocity and focus on measurable outcomes.\n\n"
        "• AI & Product Engineering — Built CodeCraft, a real-time online IDE (Next.js 15, TypeScript, Convex, Clerk) "
        "deployed on Vercel; engineered an agentic career chatbot with tool calling and safe notification workflows.\n"
        "• Proven Impact — Cut API latency by 81% for an AI SaaS; shipped a React SPA that lifted mobile bookings by 60% "
        "and reduced bounce rate by 25%.\n"
        "• End-to-End Ownership — Move from Figma to production in months, manage multiple services, and maintain "
        "zero-downtime CI/CD pipelines.\n\n"
        "I work in tight feedback loops, keep quality high without slowing delivery, and add value from week one."
    )

# IMPROVEMENT: Structured router prompt with clear taxonomy
ROUTER_SYSTEM_PROMPT = """
You are a message router. Read the user's message and return ONLY a single JSON object.

### Output schema
{
  "intent": "career" | "personal" | "contact_exchange" | "other",
  "why_hire": boolean,
  "requires_contact": boolean,
  "confidence": number,
  "matched_phrases": string[]
}

### Intent taxonomy
{
  "career": [
    "resumes / CVs",
    "skills, projects, tech stack", 
    "job roles and titles",
    "work or education background",
    "intro prompts ('introduce yourself', 'tell me about yourself')",
    "portfolio requests"
  ],
  "personal": [
    "hobbies, sports, travel, lifestyle",
    "family or personal background",
    "non-career interests"
  ],
  "contact_exchange": [
    "providing or requesting email, phone, LinkedIn",
    "phrases like 'email me', 'my email is', 'how can I contact you'"
  ],
  "other": [
    "spam, harassment, off-topic, nonsense"
  ]
}

### Flags
- why_hire = true if user asks for pitch ('why hire you', 'what makes you a good fit', 'sell yourself')
- requires_contact = true if hiring/collaboration interest ('let's talk', portfolio requests, salary, availability) BUT false for pitch requests (why_hire=true)
- requires_contact = false if they only share contact details with no intent to engage

### Precedence
1. If contact info is provided or requested → intent=contact_exchange
2. Otherwise choose between career vs personal (treat 'background' as career if work/education)
3. Otherwise → other

Return short, lowercase triggers in matched_phrases. Language-agnostic. Return ONLY JSON.
""".strip()

# Keep current contact collection prompt (same as original)
CONTACT_COLLECTION_PROMPT = (
    "I'd be happy to discuss that personally. Could you share your email so I can connect with you? "
    "You can just say something like 'My email is [your-email]' and I'll make sure to reach out."
)

# Keep current system prompt builder (same as original)  
def build_system_prompt(name: str, domain_text: str, mode: str) -> str:
    """Build system prompt for the chatbot"""
    scope = "career" if mode == "career" else "personal"
    return f"""You are acting as {name}.
Answer only using {scope} information below. Do not invent personal facts outside these documents.

Strict tool policy:
- Use record_resume_gap ONLY for career questions you cannot answer from these documents.
- Do NOT record or notify for off-topic, harassing, sexual, discriminatory, or spam content.
- If the user provides contact details or asks to follow up, ask for an email and call record_user_details.

Be concise and professional. Gently redirect to career topics when appropriate.

## Documents
{domain_text}
"""