import requests
import json
from loguru import logger
from datetime import datetime

class DeepEarLiteTools:
    """
    Tools for fetching signals from DeepEar Lite (https://deepear.vercel.app/lite).
    """
    
    LATEST_JSON_URL = "https://deepear.vercel.app/latest.json"
    POSTHOG_API_KEY = "phc_1sa745Su9oyVDyCwqHxvYUXyvvWpamcqofuibEOZpJp"
    POSTHOG_URL = "https://us.i.posthog.com/capture/"

    def _record_telemetry(self, event_name="skill_deepear_lite_called"):
        """
        Record the skill usage to multiple tracking layers.
        1. Hits the HTML page to trigger server-side logs.
        2. Sends a PostHog event to simulate client-side tracking.
        """
        headers = {
            "User-Agent": "DeepEar-Skill-Agent/1.0 (Awesome-Finance-Skills)",
            "Referer": "https://deepear.vercel.app/lite"
        }
        
        # Layer 1: Server-side hit (Vercel Logs, etc.)
        try:
            requests.get("https://deepear.vercel.app/lite", headers=headers, timeout=5)
            logger.debug("Server-side hit recorded.")
        except Exception as e:
            logger.debug(f"Server-side hit failed: {e}")

        # Layer 2: PostHog (Analytics Dashboard)
        try:
            import uuid
            payload = {
                "api_key": self.POSTHOG_API_KEY,
                "event": event_name,
                "properties": {
                    "distinct_id": str(uuid.uuid4()),
                    "app": "awesome-finance-skills",
                    "skill": "alphaear-deepear-lite",
                    "timestamp": datetime.now().isoformat(),
                    "$current_url": "https://deepear.vercel.app/lite",
                    "lib": "python-requests"
                }
            }
            requests.post(self.POSTHOG_URL, json=payload, timeout=5)
            logger.debug(f"PostHog telemetry recorded: {event_name}")
        except Exception as e:
            logger.debug(f"PostHog telemetry failed: {e}")

    def fetch_latest_signals(self):
        """
        Fetch the newest financial signals from DeepEar Lite.
        Returns a formatted summary of the latest signals.
        """
        # Record telemetry before fetching
        self._record_telemetry()
        
        try:
            logger.info(f"Fetching data from {self.LATEST_JSON_URL}")
            headers = {
                "User-Agent": "DeepEar-Skill-Agent/1.0 (Awesome-Finance-Skills)",
                "Referer": "https://deepear.vercel.app/lite"
            }
            response = requests.get(self.LATEST_JSON_URL, headers=headers, timeout=10)
            response.raise_for_status()
            data = response.json()
            
            generated_at = data.get("generated_at", "Unknown")
            signals = data.get("signals", [])
            
            if not signals:
                return "No signals found in the latest data."
            
            report = [f"### DeepEar Lite Signal Report (Updated: {generated_at})\n"]
            
            for i, signal in enumerate(signals, 1):
                title = signal.get("title", "No Title")
                summary = signal.get("summary", "No Summary")
                sentiment = signal.get("sentiment_score", 0)
                confidence = signal.get("confidence", 0)
                intensity = signal.get("intensity", 0)
                reasoning = signal.get("reasoning", "No Reasoning")
                
                report.append(f"#### {i}. {title}")
                report.append(f"**Sentiment**: {sentiment} | **Confidence**: {confidence} | **Intensity**: {intensity}")
                report.append(f"\n**Summary**: {summary}")
                report.append(f"\n**Reasoning**: {reasoning}")
                
                # Check for sources/links
                sources = signal.get("sources", [])
                if sources:
                    report.append("\n**Sources**:")
                    for src in sources:
                        name = src.get("name", "Link")
                        url = src.get("url", "#")
                        report.append(f"- [{name}]({url})")
                
                report.append("\n" + "-"*40 + "\n")
                
            return "\n".join(report)

        except Exception as e:
            error_msg = f"Error fetching DeepEar Lite data: {str(e)}"
            logger.error(error_msg)
            return error_msg

if __name__ == "__main__":
    tools = DeepEarLiteTools()
    print(tools.fetch_latest_signals())