1473 lines
62 KiB
Python
1473 lines
62 KiB
Python
"""
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dev.py — AI Answers Plugin Development Server
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Provides a full-featured local dev environment for ollama_answers.py.
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Features:
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- Mock SearXNG environment so the plugin loads without a real SearXNG install
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- Optional live SearXNG backend (set SEARXNG_URL to proxy real searches)
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- Debug console with request/response logging
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- Plugin API explorer (all routes: /ai-stream, /ai-status, /ai-models, /ai-conversation, /ai-auxiliary-search)
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- Dark UI matching SearXNG's default theme with real CSS vars
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- Config panel: LLM endpoint, model, token limits, temperature
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- Live query testing with streaming output in the browser
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Usage:
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cd dev/
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python dev.py
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Or with a live SearXNG backend:
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SEARXNG_URL=http://localhost:8080 python dev.py
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Environment variables (all optional):
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LLM_URL Ollama endpoint (default: http://localhost:11434/v1/chat/completions)
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LLM_MODEL Model name (default: qwen3.5:9b)
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LLM_MAX_TOKENS Max tokens (default: 200)
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LLM_TEMPERATURE Temperature (default: 0.2)
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SEARXNG_URL Live SearXNG URL (default: None, uses mock results)
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DEV_PORT Port to listen on (default: 5000)
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DEV_HOST Host to bind to (default: 127.0.0.1)
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"""
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import sys
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import os
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import json
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import time
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import logging
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import hashlib
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import secrets
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import urllib.request
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import urllib.parse
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from types import ModuleType
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# ── path setup ──────────────────────────────────────────────────────────────
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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# ── .env loading ─────────────────────────────────────────────────────────────
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try:
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from dotenv import load_dotenv
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# look for .env in the project root (one level up from dev/)
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_env_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), '.env')
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if os.path.exists(_env_path):
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load_dotenv(_env_path)
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print(f" Loaded .env from {_env_path}")
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except ImportError:
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pass # python-dotenv not installed, ignore
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# ── logging ──────────────────────────────────────────────────────────────────
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logging.basicConfig(
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level=logging.DEBUG,
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format='%(asctime)s %(levelname)-8s %(name)s: %(message)s',
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datefmt='%H:%M:%S'
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)
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logger = logging.getLogger('dev')
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# ── env defaults ─────────────────────────────────────────────────────────────
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os.environ.setdefault('LLM_URL', 'http://localhost:11434/v1/chat/completions')
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os.environ.setdefault('LLM_MODEL', 'qwen3.5:9b')
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SEARXNG_URL = os.getenv('SEARXNG_URL', '').rstrip('/')
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DEV_PORT = int(os.getenv('DEV_PORT', 5000))
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DEV_HOST = os.getenv('DEV_HOST', '127.0.0.1')
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# ── SearXNG module mocks ─────────────────────────────────────────────────────
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searx_mod = ModuleType("searx")
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searx_plugins_mod = ModuleType("searx.plugins")
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searx_results_mod = ModuleType("searx.result_types")
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searx_network_mod = ModuleType("searx.network")
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class _MockPlugin:
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def __init__(self, cfg):
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self.active = getattr(cfg, 'active', True)
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class _MockPluginInfo:
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def __init__(self, **kwargs):
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self.meta = kwargs
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class _MockEngineResults:
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def __init__(self):
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self.types = ModuleType("types")
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self.types.Answer = lambda *a, **kw: kw.get('answer', a[0] if a else "")
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self._results = []
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def add(self, res):
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self._results.append(res)
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searx_plugins_mod.Plugin = _MockPlugin
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searx_plugins_mod.PluginInfo = _MockPluginInfo
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searx_results_mod.EngineResults = _MockEngineResults
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searx_mod.settings = {'server': {'secret_key': 'dev-secret-key'}}
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# network mock — forwards real HTTP so Ollama calls work
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import http.client, ssl as _ssl
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def _real_http(method, url, **kwargs):
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from urllib.parse import urlparse
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p = urlparse(url)
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port = p.port or (443 if p.scheme == 'https' else 80)
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path = p.path + (f'?{p.query}' if p.query else '')
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if p.scheme == 'https':
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conn = http.client.HTTPSConnection(p.hostname, port, timeout=30,
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context=_ssl.create_default_context())
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else:
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conn = http.client.HTTPConnection(p.hostname, port, timeout=30)
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headers = kwargs.get('headers', {})
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body = json.dumps(kwargs['json']).encode() if kwargs.get('json') else kwargs.get('data')
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if kwargs.get('params'):
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qs = urllib.parse.urlencode(kwargs['params'])
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path += ('&' if '?' in path else '?') + qs
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conn.request(method, path, body=body, headers=headers)
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return conn.getresponse()
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class _MockHTTPResponse:
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def __init__(self, r):
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self.status_code = r.status
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self._content = r.read()
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self.text = self._content.decode('utf-8', errors='replace')
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def json(self):
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return json.loads(self.text)
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def _mock_get(url, **kw):
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return _MockHTTPResponse(_real_http('GET', url, **kw))
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def _mock_stream(method, url, **kw):
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r = _real_http(method, url, **kw)
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class _Resp:
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status_code = r.status
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text = "streaming"
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def _gen():
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while True:
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chunk = r.read(256)
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if not chunk: break
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yield chunk
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return _Resp(), _gen()
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searx_network_mod.stream = _mock_stream
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searx_network_mod.get = _mock_get
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sys.modules['searx'] = searx_mod
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sys.modules['searx.plugins'] = searx_plugins_mod
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sys.modules['searx.result_types'] = searx_results_mod
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sys.modules['searx.network'] = searx_network_mod
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# ── log capture handler for intent / score extraction ────────────────────────
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class _ScoreCaptureHandler(logging.Handler):
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"""Captures plugin log messages so dev routes can extract intent/scores."""
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def __init__(self):
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super().__init__()
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self.records = []
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def emit(self, record):
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self.records.append(self.format(record))
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def clear(self):
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self.records.clear()
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_score_handler = _ScoreCaptureHandler()
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_score_handler.setFormatter(logging.Formatter('%(message)s'))
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logging.getLogger('ollama_answers').addHandler(_score_handler)
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# ── load plugin ───────────────────────────────────────────────────────────────
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from flask import Flask, request, redirect, jsonify, Response
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from flask_babel import Babel
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from ollama_answers import SXNGPlugin
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app = Flask(__name__)
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babel = Babel(app)
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class _MockCfg:
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active = True
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plugin = SXNGPlugin(_MockCfg())
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plugin.init(app)
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# Override api_key from env if set
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env_key = os.getenv('LLM_API_KEY', '').strip()
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if env_key:
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plugin.api_key = env_key
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# Verify Valkey is reachable
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try:
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import valkey as _vk
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_vk_host = os.getenv('VALKEY_HOST', 'localhost')
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_vk_port = int(os.getenv('VALKEY_PORT', 6379))
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_test_vk = _vk.Valkey(host=_vk_host, port=_vk_port,
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socket_connect_timeout=2)
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_test_vk.ping()
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print(f" Valkey: {_vk_host}:{_vk_port} ✓")
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except Exception as e:
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print(f"""
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⚠ Valkey not reachable at {_vk_host}:{_vk_port}
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Streaming will not work without Valkey.
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Start one with Docker:
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docker run -d --name dev-valkey -p 6379:6379 valkey/valkey:9-alpine
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Or set VALKEY_HOST and VALKEY_PORT in your .env file.
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Error: {e}
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""")
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# ── request/response debug log storage ───────────────────────────────────────
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_DEV_SESSION = secrets.token_hex(12)
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_dev_log = [] # list of {ts, method, path, status, ms, req_body, resp_body}
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MAX_LOG = 100
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@app.before_request
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def _log_req():
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request._dev_start = time.time()
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request._dev_body = request.get_data(as_text=True)
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@app.after_request
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def _log_resp(resp):
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if request.path.startswith('/static'):
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return resp
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ms = round((time.time() - getattr(request, '_dev_start', time.time())) * 1000, 1)
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entry = {
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'ts': time.strftime('%H:%M:%S'),
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'method': request.method,
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'path': request.full_path.rstrip('?'),
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'status': resp.status_code,
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'ms': ms,
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'req': getattr(request, '_dev_body', ''),
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'resp': resp.get_data(as_text=True)[:2000],
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}
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_dev_log.insert(0, entry)
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if len(_dev_log) > MAX_LOG:
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_dev_log.pop()
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return resp
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# ── mock search results ───────────────────────────────────────────────────────
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MOCK_RESULTS = {
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'default': [
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{"title": "Wikipedia — General Knowledge",
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"content": "A comprehensive reference covering the query topic in depth with cited sources.",
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"url": "https://en.wikipedia.org/wiki/Main_Page", "publishedDate": "2026-01-15"},
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{"title": "NASA Science — Research Article",
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"content": "Peer-reviewed research providing scientific context and empirical data on the topic.",
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"url": "https://science.nasa.gov/", "publishedDate": "2026-01-10"},
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{"title": "Scientific American — Analysis",
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"content": "In-depth analysis covering recent discoveries and expert commentary.",
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"url": "https://scientificamerican.com/", "publishedDate": "2026-01-01"},
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{"title": "BBC Science — Overview",
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"content": "Accessible explainer covering the fundamentals and current understanding.",
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"url": "https://bbc.com/science", "publishedDate": "2025-12-20"},
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{"title": "MIT OpenCourseWare — Educational Resource",
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"content": "Course materials and lecture notes providing structured educational content.",
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"url": "https://ocw.mit.edu/", "publishedDate": "2025-12-15"},
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] + [
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{"title": f"Source {i} — Additional Context",
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"content": f"Supplementary information and supporting details from source {i}.",
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"url": f"https://example.com/source-{i}", "publishedDate": "2025-12-01"}
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for i in range(6, 16)
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]
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}
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def _get_results(query: str):
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"""Return real results from SearXNG if configured, else mock results."""
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if SEARXNG_URL:
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try:
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qs = urllib.parse.urlencode({'q': query, 'format': 'json', 'categories': 'general'})
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url = f"{SEARXNG_URL}/search?{qs}"
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with urllib.request.urlopen(url, timeout=8) as r:
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data = json.loads(r.read())
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results = data.get('results', [])
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logger.info(f"Live SearXNG: {len(results)} results for '{query}'")
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return results, data.get('infoboxes', []), data.get('answers', [])
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except Exception as e:
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logger.warning(f"Live SearXNG failed ({e}), falling back to mock results")
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return MOCK_RESULTS['default'], [], []
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# ── search route used by the demo UI ─────────────────────────────────────────
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_last_render = {'html': '', 'query': '', 'scores': [], 'intent': '—', 'summary': ''}
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@app.route('/dev/search')
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def dev_search():
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query = request.args.get('q', 'why is the sky blue')
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global _last_render
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_last_render['intent'] = '…'
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_last_render['query'] = query
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|
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class _MockSearch:
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class _MockSearchQuery:
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pageno = 1
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lang = 'en-US'
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categories = ['general']
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search_query = _MockSearchQuery()
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search_query.query = query
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|
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class _MockResultContainer:
|
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def __init__(self, q):
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self.answers = set()
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self._q = q
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self.infoboxes = []
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def get_ordered_results(self):
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results, iboxes, _ = _get_results(self._q)
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self.infoboxes = iboxes
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return results
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|
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result_container = _MockResultContainer(query)
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|
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session_id = secrets.token_hex(12)
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|
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# Clear prior conversation so each search starts fresh
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try:
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from ollama_answers import _get_valkey
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vk = _get_valkey()
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vk.delete(f"ai:conv:{session_id}")
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except Exception:
|
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pass
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|
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class _MockRequest:
|
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cookies = {'sxng_ai_session': session_id}
|
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headers = {}
|
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args = {}
|
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script_root = ''
|
|
|
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class _MockForm(dict):
|
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def get(self, key, default=None):
|
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return default # always return html format
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form = _MockForm()
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_score_handler.clear()
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search = _MockSearch()
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try:
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plugin.post_search(_MockRequest(), search)
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except Exception as e:
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logger.error(f"post_search failed: {e}", exc_info=True)
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return f"<p style='color:red'>post_search error: {e}</p>"
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|
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html_payload = ""
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if search.result_container.answers:
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raw = list(search.result_container.answers)[0]
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# Markup objects need str() to get the HTML
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html_payload = str(raw) if raw else ""
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logger.info(f"Got AI answer, length: {len(html_payload)}")
|
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if html_payload:
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import re as _re
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text_preview = _re.sub(r'<[^>]+>', '', html_payload)
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text_preview = ' '.join(text_preview.split())[:300]
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logger.info(f"AI output preview: {text_preview}")
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else:
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logger.warning("post_search produced no answers")
|
|
|
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# Parse intent, per-URL TF-IDF scores, and rerank summary from captured log records
|
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# Parse intent, per-URL TF-IDF scores, and rerank summary from captured log records
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import re as _re
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detected_intent = '—'
|
|
|
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scores = []
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fallback_domains = set()
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summary = ''
|
|
|
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for msg in _score_handler.records:
|
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m = _re.match(r'AI Answers: \[(.+?)\] score=([\d.]+) chunks=(\d+)', msg)
|
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|
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if m:
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scores.append({
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'url': m.group(1),
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'score': float(m.group(2)),
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'chunks': int(m.group(3)),
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'fallback': False
|
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})
|
|
|
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m = _re.match(r'AI Answers: falling back to snippet for \[\d+\] (.+)', msg)
|
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if m:
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fallback_domains.add(m.group(1))
|
|
|
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m = _re.match(r'AI Answers: reranked (\d+) results, top score=([\d.]+)', msg)
|
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if m:
|
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summary = f"{m.group(1)} reranked · top {float(m.group(2)):.4f}"
|
|
|
|
for s in scores:
|
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domain = s['url'].replace('https://', '').replace('http://', '').split('/')[0]
|
|
|
|
if domain in fallback_domains:
|
|
s['fallback'] = True
|
|
|
|
scores.sort(key=lambda s: s['score'], reverse=True)
|
|
|
|
# Refresh latest intent from Valkey
|
|
try:
|
|
from ollama_answers import _get_valkey
|
|
vk = _get_valkey()
|
|
latest_intent = vk.get("ai:last_intent")
|
|
|
|
if latest_intent:
|
|
detected_intent = latest_intent
|
|
except Exception:
|
|
pass
|
|
|
|
_last_render['html'] = html_payload
|
|
_last_render['query'] = query
|
|
_last_render['intent'] = detected_intent
|
|
_last_render['scores'] = scores
|
|
_last_render['summary'] = summary
|
|
|
|
global _last_job
|
|
|
|
_last_job['intent'] = detected_intent
|
|
_last_job['query'] = query
|
|
|
|
logger.warning(f"RETURNING INTENT TO UI: {repr(_last_job.get('intent'))}")
|
|
|
|
return jsonify({'ok': True, 'query': query})
|
|
|
|
@app.route('/dev/render')
|
|
def dev_render():
|
|
html = _last_render.get('html', '')
|
|
return f"""<!DOCTYPE html>
|
|
<html>
|
|
<head><meta charset="UTF-8">
|
|
<style>
|
|
* {{ box-sizing: border-box; }}
|
|
body {{ margin: 0; padding: 0.5rem;
|
|
background: #1e1e2e; color: #cdd6f4;
|
|
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
|
|
overflow: hidden; }}
|
|
:root {{
|
|
--color-answer-background: #2a2a3e;
|
|
--color-answer-font: #cdd6f4;
|
|
--color-result-link: #89b4fa;
|
|
--color-base-font: #cdd6f4;
|
|
--color-sidebar-bg: #313346;
|
|
--color-result-hover: #414168;
|
|
--color-base-background: #1e1e2e;
|
|
--color-base-background-hover: rgba(255,255,255,0.05);
|
|
--color-search-font: #a6adc8;
|
|
--color-result-border: #414168;
|
|
--color-result-description: #bac2de;
|
|
--color-toolkit-select-background: #313346;
|
|
}}
|
|
#answers {{ display: none; }}
|
|
#results {{ display: block; min-height: 100vh; }}
|
|
</style>
|
|
</head>
|
|
<body>
|
|
<div id="answers"><div class="answer"><span>{html}</span></div></div>
|
|
<div id="results"></div>
|
|
</body>
|
|
</html>"""
|
|
|
|
# ── dev API log endpoint ──────────────────────────────────────────────────────
|
|
_last_job = {'job_id': None, 'intent': None, 'model': None,
|
|
'query': None, 'start_ts': None}
|
|
|
|
def _get_last_job_from_log():
|
|
for entry in _dev_log:
|
|
if '/ai-stream' in entry.get('path', '') and entry.get('method') == 'POST':
|
|
try:
|
|
resp = json.loads(entry.get('resp', '{}'))
|
|
if resp.get('job_id'):
|
|
return resp['job_id']
|
|
except Exception:
|
|
pass
|
|
return None
|
|
|
|
@app.route('/dev/log')
|
|
def dev_log():
|
|
return jsonify(_dev_log)
|
|
|
|
@app.route('/dev/log/clear', methods=['POST'])
|
|
def dev_log_clear():
|
|
_dev_log.clear()
|
|
return jsonify({'ok': True})
|
|
|
|
@app.route('/dev/last-job')
|
|
def dev_last_job():
|
|
return jsonify(_last_job)
|
|
|
|
@app.route('/dev/last-scores')
|
|
def dev_last_scores():
|
|
return jsonify({
|
|
'scores': _last_render.get('scores', []),
|
|
'intent': _last_render.get('intent', '—'),
|
|
'query': _last_render.get('query', ''),
|
|
'summary': _last_render.get('summary', ''),
|
|
})
|
|
|
|
@app.route('/dev/stream-watch')
|
|
def dev_stream_watch():
|
|
job_id = request.args.get('job_id', '')
|
|
if not job_id:
|
|
return jsonify({'error': 'no job_id'}), 400
|
|
|
|
def generate():
|
|
import valkey as _vk
|
|
host = os.getenv('VALKEY_HOST', 'localhost')
|
|
port = int(os.getenv('VALKEY_PORT', 6379))
|
|
v = _vk.Valkey(host=host, port=port,
|
|
socket_connect_timeout=2,
|
|
decode_responses=True)
|
|
offset = 0
|
|
max_polls = 600
|
|
polls = 0
|
|
while polls < max_polls:
|
|
polls += 1
|
|
time.sleep(0.1)
|
|
try:
|
|
chunks = v.lrange(f"ai:job:{job_id}:chunks", offset, -1)
|
|
for chunk in chunks:
|
|
if chunk == '__DONE__':
|
|
yield "data: __DONE__\n\n"
|
|
return
|
|
if chunk.startswith('__ERROR__'):
|
|
yield f"data: __ERROR__{chunk[9:]}\n\n"
|
|
return
|
|
yield f"data: {json.dumps(chunk)}\n\n"
|
|
offset += len(chunks)
|
|
except Exception as e:
|
|
yield f"data: __ERROR__{e}\n\n"
|
|
return
|
|
yield "data: __DONE__\n\n"
|
|
|
|
return Response(generate(),
|
|
mimetype='text/event-stream',
|
|
headers={
|
|
'Cache-Control': 'no-cache',
|
|
'X-Accel-Buffering': 'no'
|
|
})
|
|
|
|
# ── dev config update ─────────────────────────────────────────────────────────
|
|
@app.route('/dev/config', methods=['POST'])
|
|
def dev_config():
|
|
global SEARXNG_URL
|
|
data = request.json or {}
|
|
if 'llm_url' in data:
|
|
url = data.get('llm_url', '').strip()
|
|
if url:
|
|
plugin.endpoint_url = url
|
|
os.environ['LLM_URL'] = url
|
|
if 'model' in data and data['model']:
|
|
plugin.model = data['model'].strip()
|
|
os.environ['LLM_MODEL'] = plugin.model
|
|
if 'max_tokens' in data:
|
|
try:
|
|
plugin.max_tokens = max(1, int(data['max_tokens']))
|
|
except (ValueError, TypeError):
|
|
pass
|
|
if 'temperature' in data:
|
|
try:
|
|
plugin.temperature = float(data['temperature'])
|
|
except (ValueError, TypeError):
|
|
pass
|
|
if 'api_key' in data:
|
|
plugin.api_key = data['api_key'].strip() or 'ollama'
|
|
if 'searxng_url' in data:
|
|
SEARXNG_URL = data['searxng_url'].strip().rstrip('/')
|
|
if 'valkey_host' in data or 'valkey_port' in data:
|
|
host = data.get('valkey_host', os.getenv('VALKEY_HOST', 'localhost')).strip()
|
|
port = int(data.get('valkey_port', os.getenv('VALKEY_PORT', 6379)))
|
|
os.environ['VALKEY_HOST'] = host
|
|
os.environ['VALKEY_PORT'] = str(port)
|
|
# Reset the valkey connection pool so it picks up new settings
|
|
import ollama_answers as _oa
|
|
_oa._VALKEY_POOL = None
|
|
return jsonify({
|
|
'llm_url': plugin.endpoint_url,
|
|
'model': plugin.model,
|
|
'max_tokens': plugin.max_tokens,
|
|
'temperature': plugin.temperature,
|
|
'api_key': plugin.api_key,
|
|
'searxng_url': SEARXNG_URL or None,
|
|
})
|
|
|
|
@app.route('/dev/config', methods=['GET'])
|
|
def dev_config_get():
|
|
return jsonify({
|
|
'llm_url': plugin.endpoint_url,
|
|
'model': plugin.model,
|
|
'max_tokens': plugin.max_tokens,
|
|
'temperature': plugin.temperature,
|
|
'api_key': plugin.api_key,
|
|
'searxng_url': SEARXNG_URL or None,
|
|
'interactive': plugin.interactive,
|
|
'allowed_tabs': list(plugin.allowed_tabs),
|
|
'valkey_host': os.getenv('VALKEY_HOST', 'localhost'),
|
|
'valkey_port': int(os.getenv('VALKEY_PORT', 6379)),
|
|
})
|
|
|
|
# ── main dev UI ───────────────────────────────────────────────────────────────
|
|
@app.route('/')
|
|
def index():
|
|
return DEV_HTML
|
|
|
|
DEV_HTML = """<!DOCTYPE html>
|
|
<html lang="en">
|
|
<head>
|
|
<meta charset="UTF-8">
|
|
<meta name="viewport" content="width=device-width, initial-scale=1">
|
|
<title>AI Answers — Dev Server</title>
|
|
<style>
|
|
:root {
|
|
--bg: #1e1e2e; --bg2: #2a2a3e; --bg3: #313346;
|
|
--border: #414168; --text: #cdd6f4; --muted: #6c7086;
|
|
--accent: #89b4fa; --green: #a6e3a1; --red: #f38ba8;
|
|
--yellow: #f9e2af; --orange: #fab387;
|
|
font-size: 14px;
|
|
}
|
|
* { box-sizing: border-box; margin: 0; padding: 0; }
|
|
body { background: var(--bg); color: var(--text); font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif; display: flex; flex-direction: column; height: 100vh; overflow: hidden; }
|
|
|
|
/* ── top bar ── */
|
|
header { background: var(--bg2); border-bottom: 1px solid var(--border); padding: 0.6rem 1rem; display: flex; align-items: center; gap: 1rem; flex-shrink: 0; }
|
|
header h1 { font-size: 1rem; font-weight: 700; color: var(--accent); }
|
|
header .badge { font-size: 0.7rem; background: var(--bg3); border: 1px solid var(--border); border-radius: 4px; padding: 1px 6px; color: var(--muted); }
|
|
header .badge.live { border-color: var(--green); color: var(--green); }
|
|
header .spacer { flex: 1; }
|
|
|
|
/* ── layout ── */
|
|
.layout { display: flex; flex: 1; overflow: hidden; }
|
|
|
|
/* ── left panel: search + output ── */
|
|
.main-panel { flex: 1; display: flex; flex-direction: column; overflow: hidden; }
|
|
.search-bar { padding: 0.75rem 1rem; background: var(--bg2); border-bottom: 1px solid var(--border); display: flex; gap: 0.5rem; flex-shrink: 0; }
|
|
.search-bar input { flex: 1; background: var(--bg3); border: 1px solid var(--border); border-radius: 6px; color: var(--text); padding: 0.45rem 0.75rem; font-size: 0.9rem; }
|
|
.search-bar input:focus { outline: none; border-color: var(--accent); }
|
|
.search-bar button { background: var(--accent); color: var(--bg); border: none; border-radius: 6px; padding: 0.45rem 1.1rem; cursor: pointer; font-weight: 600; font-size: 0.85rem; }
|
|
.search-bar button:hover { opacity: 0.85; }
|
|
.search-bar button:disabled { opacity: 0.4; cursor: default; }
|
|
|
|
.output-area { flex: 1; overflow-y: auto; padding: 1rem; }
|
|
.output-area #ai-output { min-height: 4rem; }
|
|
|
|
/* SearXNG CSS vars so the plugin looks right */
|
|
#ai-output {
|
|
--color-answer-background: #2a2a3e;
|
|
--color-answer-font: #cdd6f4;
|
|
--color-result-link: #89b4fa;
|
|
--color-base-font: #cdd6f4;
|
|
--color-sidebar-bg: #313346;
|
|
--color-result-hover: #414168;
|
|
--color-base-background: #1e1e2e;
|
|
--color-base-background-hover: rgba(255,255,255,0.05);
|
|
--color-search-font: #a6adc8;
|
|
--color-result-border: #414168;
|
|
--color-result-description: #bac2de;
|
|
--color-toolkit-select-background: #313346;
|
|
}
|
|
|
|
/* ── right panel: config + debug ── */
|
|
.side-panel { width: 360px; border-left: 1px solid var(--border); display: flex; flex-direction: column; overflow: hidden; flex-shrink: 0; }
|
|
.tabs { display: flex; background: var(--bg2); border-bottom: 1px solid var(--border); flex-shrink: 0; }
|
|
.tab { flex: 1; padding: 0.5rem; text-align: center; font-size: 0.78rem; color: var(--muted); cursor: pointer; border-bottom: 2px solid transparent; }
|
|
.tab.active { color: var(--accent); border-bottom-color: var(--accent); }
|
|
.tab-content { display: none; flex: 1; overflow-y: auto; padding: 0.75rem; flex-direction: column; gap: 0.6rem; }
|
|
.tab-content.active { display: flex; }
|
|
|
|
/* ── config tab ── */
|
|
.field label { display: block; font-size: 0.72rem; color: var(--muted); margin-bottom: 3px; text-transform: uppercase; letter-spacing: 0.04em; }
|
|
.field input, .field select { width: 100%; background: var(--bg3); border: 1px solid var(--border); border-radius: 5px; color: var(--text); padding: 0.35rem 0.6rem; font-size: 0.82rem; }
|
|
.field input:focus, .field select:focus { outline: none; border-color: var(--accent); }
|
|
.field input[type=range] { padding: 0; background: none; border: none; }
|
|
.range-row { display: flex; align-items: center; gap: 0.5rem; }
|
|
.range-val { font-size: 0.8rem; color: var(--accent); min-width: 2.5rem; text-align: right; }
|
|
.apply-btn { background: var(--accent); color: var(--bg); border: none; border-radius: 5px; padding: 0.4rem 1rem; cursor: pointer; font-weight: 700; font-size: 0.82rem; align-self: flex-start; }
|
|
.apply-btn:hover { opacity: 0.85; }
|
|
.section-title { font-size: 0.72rem; text-transform: uppercase; letter-spacing: 0.06em; color: var(--muted); border-bottom: 1px solid var(--border); padding-bottom: 0.3rem; margin-top: 0.25rem; }
|
|
.info-row { display: flex; justify-content: space-between; font-size: 0.78rem; }
|
|
.info-row span:first-child { color: var(--muted); }
|
|
.info-row span:last-child { color: var(--text); font-family: monospace; }
|
|
|
|
/* ── debug log tab ── */
|
|
.log-controls { display: flex; gap: 0.5rem; margin-bottom: 0.5rem; flex-shrink: 0; }
|
|
.log-controls button { background: var(--bg3); border: 1px solid var(--border); color: var(--muted); border-radius: 4px; padding: 3px 10px; cursor: pointer; font-size: 0.75rem; }
|
|
.log-controls button:hover { color: var(--text); border-color: var(--accent); }
|
|
.log-list { flex: 1; overflow-y: auto; display: flex; flex-direction: column; gap: 0.4rem; }
|
|
.log-entry { background: var(--bg3); border: 1px solid var(--border); border-radius: 5px; font-size: 0.75rem; overflow: hidden; }
|
|
.log-entry-header { display: flex; align-items: center; gap: 0.4rem; padding: 0.3rem 0.5rem; cursor: pointer; }
|
|
.log-entry-header:hover { background: var(--bg2); }
|
|
.log-ts { color: var(--muted); font-family: monospace; }
|
|
.log-method { font-weight: 700; font-family: monospace; }
|
|
.log-path { flex: 1; color: var(--text); font-family: monospace; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }
|
|
.log-status { font-family: monospace; font-weight: 700; }
|
|
.log-ms { color: var(--muted); }
|
|
.log-body { display: none; border-top: 1px solid var(--border); padding: 0.5rem; }
|
|
.log-body.open { display: block; }
|
|
.log-body pre { white-space: pre-wrap; word-break: break-all; color: var(--muted); font-size: 0.72rem; max-height: 200px; overflow-y: auto; }
|
|
.s200 { color: var(--green); } .s4xx { color: var(--red); } .s5xx { color: var(--orange); }
|
|
.GET { color: var(--accent); } .POST { color: var(--green); } .DELETE { color: var(--red); }
|
|
|
|
/* ── api explorer tab ── */
|
|
.api-route { background: var(--bg3); border: 1px solid var(--border); border-radius: 5px; overflow: hidden; margin-bottom: 0.4rem; }
|
|
.api-route-header { display: flex; align-items: center; gap: 0.5rem; padding: 0.4rem 0.6rem; cursor: pointer; }
|
|
.api-route-header:hover { background: var(--bg2); }
|
|
.api-route-body { display: none; padding: 0.6rem; border-top: 1px solid var(--border); }
|
|
.api-route-body.open { display: block; }
|
|
.api-route-body textarea { width: 100%; background: var(--bg2); border: 1px solid var(--border); border-radius: 4px; color: var(--text); font-family: monospace; font-size: 0.75rem; padding: 0.4rem; resize: vertical; }
|
|
.api-route-body textarea:focus { outline: none; border-color: var(--accent); }
|
|
.api-send { background: var(--accent); color: var(--bg); border: none; border-radius: 4px; padding: 0.3rem 0.8rem; cursor: pointer; font-size: 0.75rem; font-weight: 700; margin-top: 0.4rem; }
|
|
.api-resp { margin-top: 0.4rem; background: var(--bg2); border: 1px solid var(--border); border-radius: 4px; padding: 0.4rem; font-family: monospace; font-size: 0.72rem; color: var(--muted); white-space: pre-wrap; max-height: 180px; overflow-y: auto; display: none; }
|
|
.api-resp.visible { display: block; }
|
|
.method-badge { font-size: 0.68rem; font-weight: 700; padding: 1px 5px; border-radius: 3px; }
|
|
.mb-get { background: #1a3a5c; color: var(--accent); }
|
|
.mb-post { background: #1a3d2b; color: var(--green); }
|
|
.mb-delete { background: #3d1a1a; color: var(--red); }
|
|
.route-name { font-size: 0.8rem; font-family: monospace; }
|
|
.route-desc { font-size: 0.72rem; color: var(--muted); }
|
|
|
|
/* ── config panel overlay ── */
|
|
|
|
.no-entries { color: var(--muted); font-size: 0.8rem; text-align: center; padding: 1.5rem; }
|
|
</style>
|
|
</head>
|
|
<body>
|
|
|
|
<header>
|
|
<h1>✦ AI Answers Dev</h1>
|
|
<span class="badge" id="searxng-badge">Mock Results</span>
|
|
<span class="badge" id="ollama-badge">Ollama: checking…</span>
|
|
<span class="badge" id="valkey-badge">Valkey: checking…</span>
|
|
<span class="spacer"></span>
|
|
</header>
|
|
|
|
<div class="layout">
|
|
<div class="main-panel">
|
|
<div class="search-bar">
|
|
<input id="q" type="text" value="why is the sky blue" placeholder="Search query…" onkeydown="if(event.key==='Enter')doSearch()">
|
|
<button id="search-btn" onclick="doSearch()">Search</button>
|
|
</div>
|
|
<div class="output-area">
|
|
<div id="ai-output">
|
|
<p style="color:var(--muted);padding:0.5rem;font-size:0.85rem;">Enter a query above and click Search to test the plugin.</p>
|
|
</div>
|
|
<div id="tfidf-panel" style="display:none;margin-top:0.75rem;background:var(--bg2);border:1px solid var(--border);border-radius:6px;overflow:hidden;">
|
|
<div style="padding:0.4rem 0.75rem;background:var(--bg3);border-bottom:1px solid var(--border);display:flex;align-items:center;justify-content:space-between;">
|
|
<span style="font-size:0.72rem;text-transform:uppercase;letter-spacing:0.06em;color:var(--muted)">TF-IDF Relevance Scores</span>
|
|
<span id="tfidf-summary" style="font-size:0.72rem;color:var(--accent);font-family:monospace"></span>
|
|
</div>
|
|
<div style="padding:0.5rem 0.75rem">
|
|
<div id="tfidf-bars"></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="side-panel">
|
|
<div class="tabs">
|
|
<div class="tab active" onclick="showTab('config')">Config</div>
|
|
<div class="tab" onclick="showTab('debug')">Debug Log</div>
|
|
<div class="tab" onclick="showTab('stream')">Stream</div>
|
|
<div class="tab" onclick="showTab('api')">API Explorer</div>
|
|
</div>
|
|
|
|
<!-- Config tab -->
|
|
<div class="tab-content active" id="tab-config">
|
|
<div class="section-title">Plugin Config</div>
|
|
<div class="field" id="info-url"><label>LLM Endpoint</label><span style="font-family:monospace;font-size:0.78rem;color:var(--accent)">loading…</span></div>
|
|
<div class="info-row"><span>Model</span><span id="info-model">—</span></div>
|
|
<div class="info-row"><span>Max Tokens</span><span id="info-tokens">—</span></div>
|
|
<div class="info-row"><span>Temperature</span><span id="info-temp">—</span></div>
|
|
<div class="info-row"><span>Interactive</span><span id="info-interactive">—</span></div>
|
|
<div class="info-row"><span>Allowed Tabs</span><span id="info-tabs">—</span></div>
|
|
<div class="info-row"><span>SearXNG Backend</span><span id="info-searxng">mock</span></div>
|
|
<div class="info-row"><span>Valkey</span><span id="info-valkey">—</span></div>
|
|
|
|
<div class="section-title" style="margin-top:0.5rem">Edit Config</div>
|
|
<div class="field"><label>LLM URL</label><input id="cfg-url" placeholder="http://localhost:11434/v1/chat/completions"></div>
|
|
<div class="field">
|
|
<label>Model</label>
|
|
<select id="cfg-model"><option value="">loading…</option></select>
|
|
</div>
|
|
<div class="field"><label>Bearer Token <span style="opacity:0.5;font-size:0.68rem;text-transform:none">(leave empty for Ollama)</span></label><input id="cfg-key" placeholder="sk-… or leave blank"></div>
|
|
<div class="field"><label>SearXNG URL <span style="opacity:0.5;font-size:0.68rem;text-transform:none">(optional — uses mock if blank)</span></label><input id="cfg-searxng" placeholder="http://localhost:8080"></div>
|
|
<div class="field"><label>Valkey Host</label>
|
|
<input id="cfg-valkey-host" placeholder="localhost"></div>
|
|
<div class="field"><label>Valkey Port</label>
|
|
<input id="cfg-valkey-port" type="number" placeholder="6379"></div>
|
|
<div class="field">
|
|
<label>Max Tokens: <span id="cfg-tokens-val">200</span></label>
|
|
<input type="range" id="cfg-tokens" min="50" max="2000" step="50" value="200" oninput="document.getElementById('cfg-tokens-val').textContent=this.value">
|
|
</div>
|
|
<div class="field">
|
|
<label>Temperature: <span id="cfg-temp-val">0.20</span></label>
|
|
<input type="range" id="cfg-temp" min="0" max="2" step="0.05" value="0.2" oninput="document.getElementById('cfg-temp-val').textContent=parseFloat(this.value).toFixed(2)">
|
|
</div>
|
|
<button class="apply-btn" onclick="applyConfig()">Apply Changes</button>
|
|
</div>
|
|
|
|
<!-- Debug log tab -->
|
|
<div class="tab-content" id="tab-debug">
|
|
<div class="log-controls">
|
|
<button onclick="refreshLog()">⟳ Refresh</button>
|
|
<button onclick="clearLog()">✕ Clear</button>
|
|
<button onclick="autoRefresh=!autoRefresh;this.textContent=autoRefresh?'⏸ Auto':'▶ Auto'">▶ Auto</button>
|
|
</div>
|
|
<div class="log-list" id="log-list">
|
|
<div class="no-entries">No requests yet</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- Stream tab -->
|
|
<div class="tab-content" id="tab-stream">
|
|
<div class="log-controls">
|
|
<span id="stream-status" style="font-size:0.75rem;color:var(--muted)">Idle</span>
|
|
<span class="spacer" style="flex:1"></span>
|
|
<button onclick="clearStream()">✕ Clear</button>
|
|
</div>
|
|
<div style="margin-bottom:0.5rem;font-size:0.72rem;color:var(--muted)">
|
|
Shows token chunks arriving from Valkey in real time during streaming.
|
|
</div>
|
|
<div id="stream-meta" style="display:none;margin-bottom:0.5rem;
|
|
background:var(--bg3);border:1px solid var(--border);
|
|
border-radius:4px;padding:0.4rem 0.6rem;font-size:0.75rem;">
|
|
<div class="info-row"><span>Job ID</span><span id="sv-job-id" style="font-family:monospace">—</span></div>
|
|
<div class="info-row"><span>Intent</span><span id="sv-intent">—</span></div>
|
|
<div class="info-row"><span>Model</span><span id="sv-model">—</span></div>
|
|
<div class="info-row"><span>Chunks</span><span id="sv-chunks">0</span></div>
|
|
<div class="info-row"><span>Tokens est.</span><span id="sv-tokens">0</span></div>
|
|
<div class="info-row"><span>Elapsed</span><span id="sv-elapsed">0ms</span></div>
|
|
</div>
|
|
<div id="stream-viewer" style="
|
|
flex:1;overflow-y:auto;
|
|
background:var(--bg3);border:1px solid var(--border);
|
|
border-radius:4px;padding:0.5rem;
|
|
font-family:monospace;font-size:0.75rem;
|
|
line-height:1.6;color:var(--text);
|
|
white-space:pre-wrap;word-break:break-word;
|
|
min-height:200px;">
|
|
<span style="color:var(--muted)">Waiting for next search…</span>
|
|
</div>
|
|
<div style="margin-top:0.4rem;display:flex;gap:0.5rem;font-size:0.72rem;color:var(--muted)">
|
|
<span id="sv-first-token">First token: —</span>
|
|
<span>|</span>
|
|
<span id="sv-total-time">Total: —</span>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- API Explorer tab -->
|
|
<div class="tab-content" id="tab-api">
|
|
<p style="font-size:0.75rem;color:var(--muted);margin-bottom:0.5rem">Test plugin routes directly. Token is auto-injected.</p>
|
|
|
|
<div class="api-route">
|
|
<div class="api-route-header" onclick="toggleApi(this)">
|
|
<span class="method-badge mb-get">GET</span>
|
|
<span class="route-name">/ai-models</span>
|
|
<span class="route-desc" style="margin-left:auto">List Ollama models</span>
|
|
</div>
|
|
<div class="api-route-body">
|
|
<button class="api-send" onclick="apiCall('GET','/ai-models',null,this)">Send</button>
|
|
<pre class="api-resp"></pre>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="api-route">
|
|
<div class="api-route-header" onclick="toggleApi(this)">
|
|
<span class="method-badge mb-post">POST</span>
|
|
<span class="route-name">/ai-stream</span>
|
|
<span class="route-desc" style="margin-left:auto">Start AI stream</span>
|
|
</div>
|
|
<div class="api-route-body">
|
|
<textarea id="api-stream-body" rows="5">{
|
|
"q": "what is linux",
|
|
"lang": "en-US",
|
|
"context": "DEEP SOURCES:\\n[1] example.com: Linux is an open-source OS kernel.",
|
|
"model": ""
|
|
}</textarea>
|
|
<button class="api-send" onclick="apiCall('POST','/ai-stream',document.getElementById('api-stream-body').value,this)">Send</button>
|
|
<pre class="api-resp"></pre>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="api-route">
|
|
<div class="api-route-header" onclick="toggleApi(this)">
|
|
<span class="method-badge mb-get">GET</span>
|
|
<span class="route-name">/ai-status/{job_id}</span>
|
|
<span class="route-desc" style="margin-left:auto">Poll stream status</span>
|
|
</div>
|
|
<div class="api-route-body">
|
|
<div class="field"><label>Job ID</label><input id="api-status-jobid" placeholder="paste job_id from /ai-stream response"></div>
|
|
<div class="field"><label>Offset</label><input id="api-status-offset" type="number" value="0" min="0"></div>
|
|
<button class="api-send" onclick="apiStatusCall(this)">Send</button>
|
|
<pre class="api-resp"></pre>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="api-route">
|
|
<div class="api-route-header" onclick="toggleApi(this)">
|
|
<span class="method-badge mb-get">GET</span>
|
|
<span class="route-name">/ai-conversation</span>
|
|
<span class="route-desc" style="margin-left:auto">Get conversation</span>
|
|
</div>
|
|
<div class="api-route-body">
|
|
<div class="field"><label>Session ID</label><input id="api-conv-get-sid" placeholder="session_id"></div>
|
|
<button class="api-send" onclick="apiConvGet(this)">Send</button>
|
|
<pre class="api-resp"></pre>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="api-route">
|
|
<div class="api-route-header" onclick="toggleApi(this)">
|
|
<span class="method-badge mb-delete">DELETE</span>
|
|
<span class="route-name">/ai-conversation</span>
|
|
<span class="route-desc" style="margin-left:auto">Clear conversation</span>
|
|
</div>
|
|
<div class="api-route-body">
|
|
<div class="field"><label>Session ID</label><input id="api-conv-del-sid" placeholder="session_id"></div>
|
|
<button class="api-send" onclick="apiConvDelete(this)">Send</button>
|
|
<pre class="api-resp"></pre>
|
|
</div>
|
|
</div>
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<script>
|
|
let autoRefresh = false;
|
|
let _token = null;
|
|
let _sid = 'dev-session-' + Math.random().toString(36).slice(2);
|
|
|
|
// ── token helper ─────────────────────────────────────────────
|
|
async function getToken() {
|
|
if (_token) return _token;
|
|
// dev server exposes a token endpoint for convenience
|
|
const r = await fetch('/dev/token');
|
|
const d = await r.json();
|
|
_token = d.token;
|
|
return _token;
|
|
}
|
|
|
|
// ── tab switching ─────────────────────────────────────────────
|
|
function showTab(name) {
|
|
document.querySelectorAll('.tab').forEach((t,i) => {
|
|
const names = ['config','debug','stream','api'];
|
|
t.classList.toggle('active', names[i] === name);
|
|
});
|
|
document.querySelectorAll('.tab-content').forEach(c => c.classList.remove('active'));
|
|
document.getElementById('tab-'+name).classList.add('active');
|
|
if (name === 'debug') refreshLog();
|
|
}
|
|
|
|
async function loadConfig() {
|
|
const r = await fetch('/dev/config');
|
|
const d = await r.json();
|
|
document.getElementById('info-model').textContent = d.model;
|
|
document.getElementById('info-tokens').textContent = d.max_tokens;
|
|
document.getElementById('info-temp').textContent = d.temperature;
|
|
document.getElementById('info-interactive').textContent = d.interactive ? 'yes' : 'no';
|
|
document.getElementById('info-tabs').textContent = (d.allowed_tabs||[]).join(', ');
|
|
document.getElementById('info-searxng').textContent = d.searxng_url || 'mock';
|
|
const urlEl = document.getElementById('info-url');
|
|
urlEl.innerHTML = `<label>LLM Endpoint</label><span style="font-family:monospace;font-size:0.78rem;color:var(--accent)">${d.llm_url}</span>`;
|
|
|
|
const elUrl = document.getElementById('cfg-url'); if(elUrl) elUrl.value = d.llm_url;
|
|
const elKey = document.getElementById('cfg-key'); if(elKey) elKey.value = d.api_key === 'ollama' ? '' : d.api_key;
|
|
const cfgSearxng = document.getElementById('cfg-searxng');
|
|
if (cfgSearxng) cfgSearxng.value = d.searxng_url || '';
|
|
// populate model dropdown from /ai-models
|
|
const modelSel = document.getElementById('cfg-model');
|
|
if (modelSel) {
|
|
try {
|
|
const tk = await getToken();
|
|
const mr = await fetch('/ai-models?tk=' + encodeURIComponent(tk));
|
|
const md = await mr.json();
|
|
const models = (md.models || [d.model]).filter(m => !m.includes('embed') && !m.includes('vl:'));
|
|
modelSel.innerHTML = models.map(m =>
|
|
`<option value="${m}" ${m === d.model ? 'selected' : ''}>${m}</option>`
|
|
).join('');
|
|
} catch {
|
|
modelSel.innerHTML = `<option value="${d.model}" selected>${d.model}</option>`;
|
|
}
|
|
}
|
|
const elTokens = document.getElementById('cfg-tokens'); if(elTokens) elTokens.value = d.max_tokens;
|
|
document.getElementById('cfg-tokens-val').textContent = d.max_tokens;
|
|
document.getElementById('cfg-temp-val').textContent = parseFloat(d.temperature).toFixed(2);
|
|
const elTemp = document.getElementById('cfg-temp'); if(elTemp) elTemp.value = d.temperature;
|
|
const cfgValkeyHost = document.getElementById('cfg-valkey-host');
|
|
const cfgValkeyPort = document.getElementById('cfg-valkey-port');
|
|
if (cfgValkeyHost) cfgValkeyHost.value = d.valkey_host || 'localhost';
|
|
if (cfgValkeyPort) cfgValkeyPort.value = d.valkey_port || 6379;
|
|
const infoValkey = document.getElementById('info-valkey');
|
|
if (infoValkey) infoValkey.textContent =
|
|
`${d.valkey_host || 'localhost'}:${d.valkey_port || 6379}`;
|
|
}
|
|
|
|
async function applyConfig() {
|
|
const modelEl = document.getElementById('cfg-model');
|
|
const body = {
|
|
llm_url: document.getElementById('cfg-url')?.value,
|
|
model: modelEl?.value,
|
|
api_key: document.getElementById('cfg-key')?.value,
|
|
max_tokens: parseInt(document.getElementById('cfg-tokens')?.value),
|
|
temperature: parseFloat(document.getElementById('cfg-temp')?.value),
|
|
searxng_url: document.getElementById('cfg-searxng')?.value || '',
|
|
valkey_host: document.getElementById('cfg-valkey-host')?.value || 'localhost',
|
|
valkey_port: parseInt(document.getElementById('cfg-valkey-port')?.value || 6379),
|
|
};
|
|
await fetch('/dev/config', { method:'POST', headers:{'Content-Type':'application/json'}, body: JSON.stringify(body) });
|
|
_token = null; // invalidate cached token
|
|
await loadConfig();
|
|
checkValkey();
|
|
}
|
|
|
|
// ── search ────────────────────────────────────────────────────
|
|
async function doSearch() {
|
|
const q = document.getElementById('q').value.trim();
|
|
if (!q) return;
|
|
const btn = document.getElementById('search-btn');
|
|
btn.disabled = true;
|
|
btn.textContent = 'Searching…';
|
|
|
|
const out = document.getElementById('ai-output');
|
|
out.innerHTML = '<p style="color:var(--muted);font-size:0.85rem;padding:0.5rem">Loading…</p>';
|
|
|
|
try {
|
|
const r = await fetch('/dev/search?q=' + encodeURIComponent(q));
|
|
if (!r.ok) throw new Error(r.statusText);
|
|
const d = await r.json();
|
|
|
|
if (d.ok) {
|
|
out.innerHTML = '';
|
|
const iframe = document.createElement('iframe');
|
|
iframe.src = '/dev/render?t=' + Date.now();
|
|
iframe.style.cssText = 'width:100%;border:none;background:transparent;overflow:hidden;';
|
|
|
|
iframe.onload = () => {
|
|
const resize = () => {
|
|
try {
|
|
const doc = iframe.contentDocument || iframe.contentWindow.document;
|
|
doc.body.style.overflow = 'hidden';
|
|
|
|
// 1. COLLAPSE FIRST: This stops the infinite height-growing loop
|
|
iframe.style.height = '0px';
|
|
|
|
// 2. MEASURE SECOND: Get the true internal height of the document
|
|
const h = Math.max(
|
|
doc.body.scrollHeight,
|
|
doc.documentElement.scrollHeight
|
|
);
|
|
|
|
// 3. APPLY THIRD: Apply the height with a 10px buffer to prevent jitter
|
|
if (h > 0) {
|
|
iframe.style.height = (h + 10) + 'px';
|
|
}
|
|
} catch(e) {
|
|
console.error("Cross-origin or sizing error:", e);
|
|
}
|
|
};
|
|
|
|
resize();
|
|
|
|
// Keep resizing as content streams in over 30 seconds
|
|
const resizeInterval = setInterval(resize, 200);
|
|
setTimeout(() => clearInterval(resizeInterval), 30000);
|
|
// Keep resizing as content streams in over 30 seconds
|
|
fetch('/dev/last-scores?t=' + Date.now())
|
|
.then(r => r.json())
|
|
.then(meta => {
|
|
console.log('LAST SCORES:', meta);
|
|
|
|
const intentEl = document.getElementById('intent');
|
|
if (intentEl) {
|
|
intentEl.textContent = meta.intent || '—';
|
|
}
|
|
|
|
const queryEl = document.getElementById('last-query');
|
|
if (queryEl) {
|
|
queryEl.textContent = meta.query || '';
|
|
}
|
|
|
|
const summaryEl = document.getElementById('summary');
|
|
if (summaryEl) {
|
|
summaryEl.textContent = meta.summary || '';
|
|
}
|
|
})
|
|
.catch(e => {
|
|
console.error('Failed to refresh metadata:', e);
|
|
});
|
|
};
|
|
out.appendChild(iframe);
|
|
} else {
|
|
out.innerHTML = `<p style="color:var(--red)">Error: ${d.error || 'unknown'}</p>`;
|
|
}
|
|
} catch(e) {
|
|
out.innerHTML = `<p style="color:var(--red)">Error: ${e.message}</p>`;
|
|
} finally {
|
|
btn.disabled = false;
|
|
btn.textContent = 'Search';
|
|
}
|
|
}
|
|
|
|
|
|
// ── debug log ─────────────────────────────────────────────────
|
|
function statusClass(s) {
|
|
if (s >= 500) return 's5xx';
|
|
if (s >= 400) return 's4xx';
|
|
return 's200';
|
|
}
|
|
|
|
function fmtJson(str) {
|
|
try { return JSON.stringify(JSON.parse(str), null, 2); } catch { return str; }
|
|
}
|
|
|
|
async function refreshLog() {
|
|
const r = await fetch('/dev/log');
|
|
const entries = await r.json();
|
|
const list = document.getElementById('log-list');
|
|
if (!entries.length) {
|
|
list.innerHTML = '<div class="no-entries">No requests yet</div>';
|
|
return;
|
|
}
|
|
list.innerHTML = entries.map((e,i) => `
|
|
<div class="log-entry">
|
|
<div class="log-entry-header" onclick="toggleLogBody(${i})">
|
|
<span class="log-ts">${e.ts}</span>
|
|
<span class="log-method ${e.method}">${e.method}</span>
|
|
<span class="log-path" title="${e.path}">${e.path}</span>
|
|
<span class="log-status ${statusClass(e.status)}">${e.status}</span>
|
|
<span class="log-ms">${e.ms}ms</span>
|
|
</div>
|
|
<div class="log-body" id="log-body-${i}">
|
|
${e.req ? `<div style="color:var(--muted);font-size:0.7rem;margin-bottom:3px">REQUEST</div><pre>${fmtJson(e.req)}</pre>` : ''}
|
|
${e.resp ? `<div style="color:var(--muted);font-size:0.7rem;margin:4px 0 3px">RESPONSE</div><pre>${fmtJson(e.resp)}</pre>` : ''}
|
|
</div>
|
|
</div>
|
|
`).join('');
|
|
}
|
|
|
|
function toggleLogBody(i) {
|
|
document.getElementById('log-body-'+i).classList.toggle('open');
|
|
}
|
|
|
|
async function clearLog() {
|
|
await fetch('/dev/log/clear', {method:'POST'});
|
|
refreshLog();
|
|
}
|
|
|
|
setInterval(() => { if (autoRefresh) refreshLog(); }, 1500);
|
|
|
|
// ── API explorer ──────────────────────────────────────────────
|
|
function toggleApi(header) {
|
|
header.nextElementSibling.classList.toggle('open');
|
|
}
|
|
|
|
async function apiCall(method, path, bodyStr, btn) {
|
|
const tk = await getToken();
|
|
let url = path;
|
|
let opts = { method, headers: {'Content-Type':'application/json'} };
|
|
|
|
if (method === 'GET') {
|
|
url += (url.includes('?') ? '&' : '?') + 'tk=' + encodeURIComponent(tk);
|
|
} else {
|
|
let body = {};
|
|
try { body = JSON.parse(bodyStr || '{}'); } catch { body = {}; }
|
|
body.tk = tk;
|
|
body.session_id = _sid;
|
|
opts.body = JSON.stringify(body);
|
|
}
|
|
|
|
const resp = btn.closest('.api-route-body').querySelector('.api-resp');
|
|
resp.textContent = 'Sending…';
|
|
resp.classList.add('visible');
|
|
try {
|
|
const r = await fetch(url, opts);
|
|
const text = await r.text();
|
|
resp.textContent = fmtJson(text);
|
|
} catch(e) {
|
|
resp.textContent = 'Error: ' + e.message;
|
|
}
|
|
}
|
|
|
|
async function apiStatusCall(btn) {
|
|
const jobId = document.getElementById('api-status-jobid').value.trim();
|
|
const offset = document.getElementById('api-status-offset').value || 0;
|
|
if (!jobId) { alert('Enter a job_id'); return; }
|
|
const tk = await getToken();
|
|
const url = `/ai-status/${jobId}?tk=${encodeURIComponent(tk)}&offset=${offset}`;
|
|
const resp = btn.closest('.api-route-body').querySelector('.api-resp');
|
|
resp.textContent = 'Sending…';
|
|
resp.classList.add('visible');
|
|
try {
|
|
const r = await fetch(url);
|
|
resp.textContent = fmtJson(await r.text());
|
|
} catch(e) {
|
|
resp.textContent = 'Error: ' + e.message;
|
|
}
|
|
}
|
|
|
|
async function apiConvGet(btn) {
|
|
const sid = document.getElementById('api-conv-get-sid').value.trim() || _sid;
|
|
const tk = await getToken();
|
|
const url = `/ai-conversation?tk=${encodeURIComponent(tk)}&session_id=${sid}`;
|
|
const resp = btn.closest('.api-route-body').querySelector('.api-resp');
|
|
resp.textContent = 'Sending…'; resp.classList.add('visible');
|
|
try { resp.textContent = fmtJson(await (await fetch(url)).text()); } catch(e) { resp.textContent = 'Error: '+e.message; }
|
|
}
|
|
|
|
async function apiConvDelete(btn) {
|
|
const sid = document.getElementById('api-conv-del-sid').value.trim() || _sid;
|
|
const tk = await getToken();
|
|
const resp = btn.closest('.api-route-body').querySelector('.api-resp');
|
|
resp.textContent = 'Sending…'; resp.classList.add('visible');
|
|
try {
|
|
const r = await fetch('/ai-conversation', {
|
|
method: 'DELETE',
|
|
headers: {'Content-Type':'application/json'},
|
|
body: JSON.stringify({tk, session_id: sid})
|
|
});
|
|
resp.textContent = fmtJson(await r.text());
|
|
} catch(e) { resp.textContent = 'Error: '+e.message; }
|
|
}
|
|
|
|
// ── ollama health check ───────────────────────────────────────
|
|
async function checkOllama() {
|
|
const cfg = await (await fetch('/dev/config')).json();
|
|
const base = cfg.llm_url.replace('/v1/chat/completions','').replace('/api/chat','');
|
|
try {
|
|
const r = await fetch('/dev/ollama-check');
|
|
const d = await r.json();
|
|
const el = document.getElementById('ollama-badge');
|
|
if (d.ok) {
|
|
el.textContent = `Ollama: ${d.models} model${d.models!==1?'s':''}`;
|
|
el.classList.add('live');
|
|
} else {
|
|
el.textContent = 'Ollama: offline';
|
|
}
|
|
} catch { document.getElementById('ollama-badge').textContent = 'Ollama: offline'; }
|
|
}
|
|
|
|
async function checkValkey() {
|
|
try {
|
|
const r = await fetch('/dev/valkey-check');
|
|
const d = await r.json();
|
|
const el = document.getElementById('valkey-badge');
|
|
if (d.ok) {
|
|
el.textContent = `Valkey: ${d.host}:${d.port}`;
|
|
el.classList.add('live');
|
|
} else {
|
|
el.textContent = 'Valkey: offline';
|
|
el.style.borderColor = 'var(--red)';
|
|
el.style.color = 'var(--red)';
|
|
}
|
|
} catch {
|
|
document.getElementById('valkey-badge').textContent = 'Valkey: offline';
|
|
}
|
|
}
|
|
|
|
// ── stream viewer ─────────────────────────────────────────────
|
|
let _streamSource = null;
|
|
let _streamStartTs = null;
|
|
let _streamFirstTokenTs = null;
|
|
let _streamChunkCount = 0;
|
|
let _streamText = '';
|
|
|
|
function clearStream() {
|
|
document.getElementById('stream-viewer').innerHTML =
|
|
'<span style="color:var(--muted)">Waiting for next search…</span>';
|
|
document.getElementById('stream-meta').style.display = 'none';
|
|
document.getElementById('stream-status').textContent = 'Idle';
|
|
document.getElementById('stream-status').style.color = 'var(--muted)';
|
|
document.getElementById('sv-chunks').textContent = '0';
|
|
document.getElementById('sv-tokens').textContent = '0';
|
|
document.getElementById('sv-elapsed').textContent = '0ms';
|
|
document.getElementById('sv-first-token').textContent = 'First token: —';
|
|
document.getElementById('sv-total-time').textContent = 'Total: —';
|
|
_streamText = '';
|
|
_streamChunkCount = 0;
|
|
if (_streamSource) { _streamSource.close(); _streamSource = null; }
|
|
}
|
|
|
|
async function attachStreamViewer() {
|
|
// Find the latest job_id from the debug log
|
|
const r = await fetch('/dev/log');
|
|
const entries = await r.json();
|
|
let jobId = null;
|
|
let model = '—';
|
|
for (const e of entries) {
|
|
if (e.path && e.path.includes('/ai-stream') && e.method === 'POST') {
|
|
try {
|
|
const resp = JSON.parse(e.resp);
|
|
if (resp.job_id) {
|
|
jobId = resp.job_id;
|
|
const req = JSON.parse(e.req);
|
|
model = req.model || '—';
|
|
}
|
|
} catch {}
|
|
break;
|
|
}
|
|
}
|
|
if (!jobId) return;
|
|
|
|
if (_streamSource) _streamSource.close();
|
|
|
|
_streamStartTs = Date.now();
|
|
_streamFirstTokenTs = null;
|
|
_streamChunkCount = 0;
|
|
_streamText = '';
|
|
|
|
// Fetch intent from last search
|
|
let intent = '—';
|
|
try {
|
|
const scoresR = await fetch('/dev/last-scores');
|
|
const scoresD = await scoresR.json();
|
|
intent = scoresD.intent || '—';
|
|
} catch {}
|
|
|
|
document.getElementById('stream-meta').style.display = 'block';
|
|
document.getElementById('sv-job-id').textContent = jobId;
|
|
document.getElementById('sv-model').textContent = model;
|
|
document.getElementById('sv-intent').textContent = intent;
|
|
document.getElementById('stream-status').textContent = '● Streaming';
|
|
document.getElementById('stream-status').style.color = 'var(--green)';
|
|
|
|
const viewer = document.getElementById('stream-viewer');
|
|
viewer.innerHTML = '';
|
|
|
|
_streamSource = new EventSource(`/dev/stream-watch?job_id=${jobId}`);
|
|
|
|
const elapsedTimer = setInterval(() => {
|
|
const ms = Date.now() - _streamStartTs;
|
|
document.getElementById('sv-elapsed').textContent = ms + 'ms';
|
|
}, 100);
|
|
|
|
_streamSource.onmessage = (e) => {
|
|
if (e.data === '__DONE__') {
|
|
_streamSource.close();
|
|
_streamSource = null;
|
|
clearInterval(elapsedTimer);
|
|
const total = Date.now() - _streamStartTs;
|
|
document.getElementById('stream-status').textContent = '✓ Done';
|
|
document.getElementById('stream-status').style.color = 'var(--green)';
|
|
document.getElementById('sv-total-time').textContent = `Total: ${total}ms`;
|
|
return;
|
|
}
|
|
if (e.data.startsWith('__ERROR__')) {
|
|
_streamSource.close();
|
|
clearInterval(elapsedTimer);
|
|
document.getElementById('stream-status').textContent = '✗ Error';
|
|
document.getElementById('stream-status').style.color = 'var(--red)';
|
|
viewer.innerHTML += `<span style="color:var(--red)">${e.data}</span>`;
|
|
return;
|
|
}
|
|
try {
|
|
const chunk = JSON.parse(e.data);
|
|
if (!_streamFirstTokenTs) {
|
|
_streamFirstTokenTs = Date.now();
|
|
const ttft = _streamFirstTokenTs - _streamStartTs;
|
|
document.getElementById('sv-first-token').textContent = `First token: ${ttft}ms`;
|
|
}
|
|
_streamChunkCount++;
|
|
_streamText += chunk;
|
|
document.getElementById('sv-chunks').textContent = _streamChunkCount;
|
|
document.getElementById('sv-tokens').textContent =
|
|
Math.round(_streamText.length / 4);
|
|
|
|
const span = document.createElement('span');
|
|
span.textContent = chunk;
|
|
span.style.cssText = 'background:rgba(137,180,250,0.15);' +
|
|
'border-radius:2px;transition:background 0.5s ease;';
|
|
viewer.appendChild(span);
|
|
setTimeout(() => span.style.background = 'transparent', 500);
|
|
viewer.scrollTop = viewer.scrollHeight;
|
|
} catch {}
|
|
};
|
|
}
|
|
|
|
// ── TF-IDF score visualizer ───────────────────────────────────
|
|
async function loadTfidfScores() {
|
|
let d;
|
|
try {
|
|
const r = await fetch('/dev/last-scores');
|
|
d = await r.json();
|
|
} catch { return; }
|
|
|
|
const panel = document.getElementById('tfidf-panel');
|
|
const bars = document.getElementById('tfidf-bars');
|
|
const sumEl = document.getElementById('tfidf-summary');
|
|
|
|
if (!d.scores || !d.scores.length) { panel.style.display = 'none'; return; }
|
|
|
|
panel.style.display = 'block';
|
|
sumEl.textContent = d.summary || '';
|
|
|
|
const maxScore = Math.max(...d.scores.map(s => s.score), 0.0001);
|
|
bars.innerHTML = d.scores.map(s => {
|
|
const pct = (s.score / maxScore * 100).toFixed(1);
|
|
const domain = s.url.replace(/^https?:\\/\\//, '').split('/')[0];
|
|
const color = s.fallback ? 'var(--yellow)' : 'var(--accent)';
|
|
const label = s.fallback ? domain + ' ⚠' : domain;
|
|
const meta = s.chunks ? ` (${s.chunks}ch)` : '';
|
|
return `<div style="margin-bottom:0.45rem">
|
|
<div style="display:flex;justify-content:space-between;font-size:0.72rem;margin-bottom:3px">
|
|
<span style="color:${color};overflow:hidden;text-overflow:ellipsis;white-space:nowrap;max-width:68%" title="${s.url}">${label}</span>
|
|
<span style="color:var(--muted);font-family:monospace">${s.score.toFixed(4)}${meta}</span>
|
|
</div>
|
|
<div style="height:5px;background:var(--bg3);border-radius:3px;overflow:hidden">
|
|
<div style="height:100%;width:${pct}%;background:${color};border-radius:3px;transition:width 0.3s ease"></div>
|
|
</div>
|
|
</div>`;
|
|
}).join('');
|
|
}
|
|
|
|
// Auto-attach stream viewer when a search completes
|
|
const _origDoSearch = doSearch;
|
|
doSearch = async function() {
|
|
showTab('stream');
|
|
clearStream();
|
|
document.getElementById('tfidf-panel').style.display = 'none';
|
|
document.getElementById('tfidf-bars').innerHTML = '';
|
|
document.getElementById('tfidf-summary').textContent = '';
|
|
document.getElementById('stream-status').textContent = '⏳ Waiting for job…';
|
|
await _origDoSearch();
|
|
loadTfidfScores();
|
|
setTimeout(attachStreamViewer, 500);
|
|
};
|
|
|
|
// ── init ──────────────────────────────────────────────────────
|
|
loadConfig();
|
|
checkOllama();
|
|
checkValkey();
|
|
setTimeout(checkOllama, 5000);
|
|
</script>
|
|
</body>
|
|
</html>
|
|
"""
|
|
|
|
# ── token endpoint (dev only) ─────────────────────────────────────────────────
|
|
@app.route('/dev/token')
|
|
def dev_token():
|
|
ts = str(time.time())
|
|
sig = hashlib.sha256(f"{ts}{plugin.secret}".encode()).hexdigest()
|
|
return jsonify({'token': f"{ts}.{sig}"})
|
|
|
|
# ── ollama health check endpoint ──────────────────────────────────────────────
|
|
@app.route('/dev/valkey-check')
|
|
def dev_valkey_check():
|
|
try:
|
|
import valkey as _vk
|
|
host = os.getenv('VALKEY_HOST', 'localhost')
|
|
port = int(os.getenv('VALKEY_PORT', 6379))
|
|
v = _vk.Valkey(host=host, port=port, socket_connect_timeout=2)
|
|
v.ping()
|
|
return jsonify({'ok': True, 'host': host, 'port': port})
|
|
except Exception as e:
|
|
return jsonify({'ok': False, 'error': str(e)})
|
|
|
|
@app.route('/dev/ollama-check')
|
|
def dev_ollama_check():
|
|
try:
|
|
p = urllib.parse.urlparse(plugin.endpoint_url)
|
|
base = f"{p.scheme}://{p.netloc}"
|
|
url = f"{base}/api/tags"
|
|
req = urllib.request.Request(url, headers={'Authorization': f'Bearer {plugin.api_key}'})
|
|
with urllib.request.urlopen(req, timeout=3) as r:
|
|
data = json.loads(r.read())
|
|
models = len(data.get('models', []))
|
|
return jsonify({'ok': True, 'models': models})
|
|
except Exception as e:
|
|
return jsonify({'ok': False, 'error': str(e)})
|
|
|
|
# ── entry point ───────────────────────────────────────────────────────────────
|
|
if __name__ == '__main__':
|
|
print(f"""
|
|
✦ AI Answers Dev Server
|
|
─────────────────────────────────────────
|
|
UI: http://{DEV_HOST}:{DEV_PORT}
|
|
LLM: {plugin.endpoint_url}
|
|
Model: {plugin.model}
|
|
Max tokens: {plugin.max_tokens}
|
|
Temperature: {plugin.temperature}
|
|
SearXNG: {SEARXNG_URL or 'mock results'}
|
|
─────────────────────────────────────────
|
|
""")
|
|
app.run(host=DEV_HOST, port=DEV_PORT, debug=False) |