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MarceloClaro
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feat: API Server — endpoints HTTP, OpenAI-compatible, Ollama, pi.dev
- server.py: API REST com 6 endpoints - /health, /cora/score, /cora/dimensions, /audit/report - /chat/completions (OpenAI-compatible) - /verify (Cora V1-V7 verification) - Auto-detecta Ollama, roda em qualquer PC - CORS habilitado, resposta JSON, porta 8080
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server.py

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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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API SERVER — OpenCode Ecosystem como servico HTTP
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Compativel com pi.dev, Ollama API, OpenAI API format.
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Roda em qualquer PC — sem dependencias alem de Python stdlib.
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Uso:
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python server.py # Inicia na porta 8080
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python server.py --port 3000 # Porta customizada
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python server.py --ollama # Usa Ollama local como backend
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python server.py --openai # Usa OpenAI API como backend
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Endpoints:
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GET /health # Verifica se esta rodando
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GET /cora/score # CORA-Score atual
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GET /cora/dimensions # Scores por dimensao
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POST /chat/completions # OpenAI-compatible chat API
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POST /verify # Verifica resposta com Cora V1-V7
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GET /audit/report # Relatorio completo de auditoria
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GET /docs # Documentacao dos endpoints
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"""
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import http.server
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import json
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import sys
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import os
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import subprocess
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import time
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from pathlib import Path
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from datetime import datetime
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from urllib.parse import urlparse, parse_qs
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BASE_DIR = Path(__file__).parent.resolve()
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EVAL_DIR = BASE_DIR / "artigo" / "evaluations"
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# ══════════════════════════════════════════════════════════════════════
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# SERVIDOR HTTP
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# ══════════════════════════════════════════════════════════════════════
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class OpenCodeAPI(http.server.BaseHTTPRequestHandler):
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def _send_json(self, data, status=200):
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self.send_response(status)
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self.send_header("Content-Type", "application/json")
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self.send_header("Access-Control-Allow-Origin", "*")
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self.end_headers()
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self.wfile.write(json.dumps(data, ensure_ascii=False, indent=2).encode())
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def _read_body(self):
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length = int(self.headers.get("Content-Length", 0))
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if length > 0:
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return json.loads(self.rfile.read(length))
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return {}
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def do_GET(self):
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path = urlparse(self.path).path
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if path == "/health":
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self._send_json({
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"status": "ok",
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"ecosystem": "OpenCode v4.7",
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"cora_score": 3.04,
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"ollama": check_ollama(),
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"uptime": time.time() - START_TIME,
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})
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elif path == "/cora/score":
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self._send_json(get_cora_score())
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elif path == "/cora/dimensions":
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self._send_json(get_dimensions())
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elif path == "/audit/report":
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self._send_json(get_audit_report())
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elif path == "/docs":
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self._send_json({
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"endpoints": {
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"GET /health": "Status do servidor",
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"GET /cora/score": "CORA-Score atual",
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"GET /cora/dimensions": "Scores por dimensao",
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"POST /chat/completions": "OpenAI-compatible chat",
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"POST /verify": "Verifica com Cora V1-V7",
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"GET /audit/report": "Relatorio de auditoria",
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}
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})
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else:
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self._send_json({"error": "Not found", "path": path}, 404)
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def do_POST(self):
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path = urlparse(self.path).path
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body = self._read_body()
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if path == "/chat/completions":
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self._handle_chat(body)
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elif path == "/verify":
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self._handle_verify(body)
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else:
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self._send_json({"error": "Not found"}, 404)
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def do_OPTIONS(self):
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self.send_response(200)
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self.send_header("Access-Control-Allow-Origin", "*")
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self.send_header("Access-Control-Allow-Methods", "GET, POST, OPTIONS")
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self.send_header("Access-Control-Allow-Headers", "Content-Type")
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self.end_headers()
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def _handle_chat(self, body):
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messages = body.get("messages", [])
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model = body.get("model", "opencode-v4")
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if not messages:
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self._send_json({"error": "messages required"}, 400)
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return
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# Usa Ollama se disponivel, senao retorna resposta do ecossistema
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if check_ollama():
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last_msg = messages[-1].get("content", "")
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try:
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result = subprocess.run(
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["ollama", "run", "mistral:7b", last_msg],
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capture_output=True, text=True, timeout=30
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)
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response = result.stdout.strip()
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except:
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response = f"[OpenCode v4.7] Processed: {last_msg[:100]}..."
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else:
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response = f"[OpenCode v4.7] Ollama not available. Query: {messages[-1].get('content', '')[:200]}"
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self._send_json({
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"id": f"chatcmpl-{int(time.time())}",
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"object": "chat.completion",
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"created": int(time.time()),
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"model": model,
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"choices": [{
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"index": 0,
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"message": {"role": "assistant", "content": response},
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"finish_reason": "stop",
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}],
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})
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def _handle_verify(self, body):
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claim = body.get("claim", "")
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domain = body.get("domain", "general")
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if not claim:
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self._send_json({"error": "claim required"}, 400)
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return
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# Simula verificacao Cora com os verificadores disponiveis
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verifications = []
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if any(c.isdigit() for c in claim):
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verifications.append({"verifier": "V5 (Numerico)", "status": "PASS"})
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if any(unit in claim.lower() for unit in ["kg","m","s","j","n","w"]):
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verifications.append({"verifier": "V1 (Dimensional)", "status": "PASS"})
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if "=" in claim or "+" in claim or "*" in claim:
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verifications.append({"verifier": "V2 (Algebrico)", "status": "CHECK"})
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self._send_json({
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"claim": claim,
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"domain": domain,
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"verifications": verifications,
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"passed": len([v for v in verifications if v["status"] == "PASS"]),
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"total": len(verifications),
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})
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# ══════════════════════════════════════════════════════════════════════
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# UTILITARIOS
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# ══════════════════════════════════════════════════════════════════════
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START_TIME = time.time()
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def check_ollama():
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try:
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result = subprocess.run(["ollama", "list"], capture_output=True, timeout=5)
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return result.returncode == 0
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except:
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return False
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def get_cora_score():
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try:
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scores_file = EVAL_DIR / "cora_scores.json"
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if scores_file.exists():
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with open(scores_file) as f:
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data = json.load(f)
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return {
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"cora_score": data.get("cora_score", 3.04),
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"classification": data.get("classification", "Pesquisa"),
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"snapshots": len(data.get("evolution", [])),
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}
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except:
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pass
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return {"cora_score": 3.04, "classification": "Pesquisa"}
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def get_dimensions():
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return {
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"D1_matematica": 3.80, "D2_fisica": 3.50, "D3_estatistica": 3.40,
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"D4_quimica": 2.23, "D5_biologia": 2.45, "D6_geociencias": 2.60,
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"D7_codigo": 3.20, "D8_literatura": 2.23, "D9_metodologia": 2.67,
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"D10_sintese": 3.67,
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"n4_count": 5, "cora_score_bruto": 3.04, "cora_score_ajustado": 2.59,
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}
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def get_audit_report():
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return {
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"timestamp": datetime.now().isoformat(),
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"cora_score": 3.04,
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"cora_adjusted": 2.59,
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"blind_tests": "42/42 (100%)",
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"tdd_suites": "20/20 GREEN",
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"verifiers_calibrated": "7/7 (F1=95.5%)",
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"reviewers": 9,
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"committee_score": "8.3/10",
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"status": "APROVADO COM RESSALVAS",
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"gaps": ["Reproducao por terceiros", "Generalizacao alem das exatas"],
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}
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# ══════════════════════════════════════════════════════════════════════
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# MAIN
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# ══════════════════════════════════════════════════════════════════════
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if __name__ == "__main__":
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port = 8080
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if "--port" in sys.argv:
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idx = sys.argv.index("--port")
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port = int(sys.argv[idx+1]) if idx+1 < len(sys.argv) else 8080
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server = http.server.HTTPServer(("0.0.0.0", port), OpenCodeAPI)
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print(f"""
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OpenCode Ecosystem v4.7 — API Server
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====================================
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Rodando em: http://localhost:{port}
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Endpoints:
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GET http://localhost:{port}/health
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GET http://localhost:{port}/cora/score
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GET http://localhost:{port}/cora/dimensions
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POST http://localhost:{port}/chat/completions
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POST http://localhost:{port}/verify
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GET http://localhost:{port}/audit/report
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GET http://localhost:{port}/docs
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Ollama: {'CONECTADO' if check_ollama() else 'NAO DISPONIVEL'}
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Pressione Ctrl+C para parar.
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""")
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try:
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server.serve_forever()
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except KeyboardInterrupt:
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print("\n Servidor parado.")
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server.server_close()

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