TySS-Dev/ollama-ai-answers-searxng
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Reworked dev.py, and made changes related to the rework

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This commit is contained in:
Tyler
2026-05-19 05:59:32 -04:00
parent 4b36a261c4
commit 177fd5862e
4 changed files with 215 additions and 106 deletions
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.gitignore
+1
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@@ -3,6 +3,7 @@ __pycache__/
*$py.class
venv/
.env
dev/.env
.idea/
.vscode/
.agent/
README.md
+33 -3
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@@ -104,14 +104,44 @@ Configure via environment variables.
## Known Issues
- [ ] When asking a follow up question the previous output disappears
- [ ] Parts of the UI are not theme aware resulting in a unpolished look when not using a dark theme
- [ ] When SearXNG provides a info blob for a search it appears on top of the overview i.e. `Wikipedia` or `Linux`
- [ ] Update README with all updates
- [x] When asking a follow up question the previous output disappears
- [x] Parts of the UI are not theme aware resulting in a unpolished look when not using a dark theme
- [x] When SearXNG provides a info blob for a search it appears on top of the overview i.e. `Wikipedia` or `Linux`
For any issues not stated here please create an issue ticket on [Gitea](https://git.tysstech.com/TySS-Dev/ollama-ai-answers-searxng/issues) or [GitHub](https://github.com/TySP-Dev/ollama-ai-answers-searxng/issues) and add the `bug` tag.
## Roadmap
### Dev Server
- [x] Stream viewer — show tokens arriving in real time in the debug panel as they come out of Valkey, so you can see exactly what the LLM is generating chunk by chunk
- [x] TF-IDF score visualizer — show a table of which URLs were fetched, their scores, and which chunks were selected for context
- [ ] Intent detection display — show what intent was detected and which system prompt was used for each query
- [ ] Saved queries — save/load test queries so you can quickly re-run the same set of searches after making changes to the plugin
- [ ] A/B model comparison — run the same query against two different models simultaneously and show both responses side by side
- [ ] Response time breakdown — show how long each phase took: SearXNG fetch, page fetching, TF-IDF scoring, LLM stream start, stream complete
- [ ] Context inspector — show the full assembled context string that gets sent to the LLM, so you can see exactly what it's working with
- [ ] Prompt viewer — show the full system prompt + user prompt that gets sent to Ollama
- [ ] Export button — copy the full context + prompt + response as a JSON blob for bug reports
- [ ] Per-intent system prompt editor — edit the system prompts for each intent type live without restarting
- [ ] Token counter — show estimated token count of the context being sent
### Plugin
- [ ] Working on feature plans
## Architecture
ollama_answers.py
+180 -103
View File
@@ -1,12 +1,11 @@
import json, os, logging, base64, time, hashlib, re, http.client, ssl, concurrent.futures, threading, math
import json, os, logging, base64, typing, time, hashlib, re, http.client, ssl, concurrent.futures, threading, math
from collections import Counter
from urllib.parse import urlparse
from searx import network
try:
from searx.network import get_network
except ImportError:
get_network = None
from flask import Response, request, abort, jsonify
from flask import request, abort, jsonify
from searx.plugins import Plugin, PluginInfo
from searx.result_types import EngineResults
from searx import settings
@@ -24,7 +23,6 @@ except ImportError:
logger.warning("AI Answers: valkey package not found. Streaming via Valkey unavailable.")
TOKEN_EXPIRY_SEC = 3600
STREAM_CHUNK_SIZE = 512
STREAM_TIMEOUT_SEC = 60
CONV_TTL = 1800
@@ -276,17 +274,17 @@ INTERACTIVE_CSS = '''
width: 32px;
height: 32px;
padding: 0;
border: none;
border: 1px solid var(--color-result-border, rgba(0,0,0,0.1));
border-radius: 4px;
background: var(--color-sidebar-bg, #424247);
color: var(--color-search-url, #bbb);
background: var(--color-base-background-hover, rgba(0,0,0,0.06));
color: var(--color-base-font, inherit);
cursor: pointer;
vertical-align: middle;
line-height: 1.4;
}
.sxng-btn:hover {
background: var(--color-search-url, #303033);
color: var(--color-sidebar-bg, #bbb);
background: var(--color-result-border, rgba(0,0,0,0.15));
color: var(--color-base-font, inherit);
}
.sxng-btn svg { width: 18px; height: 18px; fill: currentColor; }
.sxng-input-wrapper {
@@ -300,9 +298,9 @@ INTERACTIVE_CSS = '''
.sxng-input {
width: 100%;
height: -webkit-fill-available;
background: var(--color-sidebar-bg, #424247);
border: none;
color: var(--color-base-font, #cdd6f4);
background: var(--color-base-background-hover, rgba(0,0,0,0.06));
border: 1px solid var(--color-result-border, rgba(0,0,0,0.15));
color: var(--color-base-font, inherit);
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
font-size: 0.78em;
padding: 3px 8px;
@@ -311,7 +309,7 @@ INTERACTIVE_CSS = '''
vertical-align: middle;
}
.sxng-input:focus { outline: none; }
.sxng-input::placeholder { color: var(--color-base-font, #333); opacity: 0.35; }
.sxng-input::placeholder { color: var(--color-base-font, inherit); opacity: 0.4; }
.sxng-input-line {
position: absolute;
bottom: 0;
@@ -335,23 +333,24 @@ INTERACTIVE_CSS = '''
opacity: 0.55;
animation: sxng-fade-in-up 0.3s ease-out forwards;
}
.sxng-input-wrapper:focus-within {
opacity: 1;
color: var(--color-result-link, #5e81ac);
.sxng-input-wrapper:focus-within {
opacity: 1;
color: var(--color-result-link, #5e81ac);
background: var(--color-base-background-hover, rgba(0,0,0,0.05)) !important;
}
.sxng-model-select {
appearance: none;
-webkit-appearance: none;
background: url("data:image/svg+xml;charset=UTF-8,%3C%3Fxml%20version%3D%221.0%22%20encoding%3D%22UTF-8%22%3F%3E%0A%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20512%20512%22%3E%0A%3Cg%20fill%3D%22%23aaa%22%3E%0A%3Cpolygon%20points%3D%22128%2C192%20256%2C320%20384%2C192%22%2F%3E%3C%2Fg%3E%0A%3C%2Fsvg%3E") calc(100% + 2rem) / 1rem no-repeat content-box border-box;
background-color: #424247;
background-color: var(--color-base-background-hover, rgba(0,0,0,0.06));
text-overflow: ellipsis;
border-width: 0 2rem 0 0;
border-color: transparent;
border: 0px solid var(--color-result-border, rgba(0,0,0,0.1));
border-right-width: 2rem;
border-right-color: transparent;
border-radius: 5px;
outline: none;
height: 25px;
color: var(--color-search-url, #bbb);
color: var(--color-base-font, inherit);
font-size: .9rem;
padding: 1px 10px 1px 10px !important;
margin: 0;
@@ -361,8 +360,7 @@ INTERACTIVE_CSS = '''
vertical-align: middle;
}
.sxng-model-select:hover {
background-color: #303033;
color: var(--color-search-url, #bbb);
background-color: var(--color-result-border, rgba(0,0,0,0.15));
}
.sxng-reasoning {
margin: 0.5rem 0; padding: 0.5rem;
@@ -385,7 +383,8 @@ INTERACTIVE_CSS = '''
font-size: 0.75em;
color: var(--color-result-link, #5e81ac);
text-decoration: none;
opacity: 0.75;
opacity: 1;
font-weight: 600;
}
.sxng-citation-item a:hover {
opacity: 1;
@@ -395,18 +394,18 @@ INTERACTIVE_CSS = '''
margin-bottom: 0.75rem;
padding: 0.5rem;
border-left: 2px solid var(--color-result-link, #5e81ac);
opacity: 0.6;
opacity: 0.85;
font-size: 0.85em;
}
.sxng-prior-history summary {
cursor: pointer;
color: var(--color-result-link, #5e81ac);
font-weight: 600;
font-weight: 700;
}
.sxng-prior-answer {
margin: 0.25rem 0;
padding-left: 0.5rem;
color: var(--color-base-font, #cdd6f4);
color: var(--color-base-font, inherit);
}
.sxng-md-content {
line-height: 1.6;
@@ -507,7 +506,7 @@ CITATION_HELPER_JS = r'''
const re = /\[(\d{1,2}(?:\s*,\s*\d{1,2})*)\]/g;
let lastIdx = 0;
const matches = [...text.matchAll(re)];
matches.forEach(match => {
if (match.index > lastIdx) {
const s = document.createElement('span');
@@ -542,7 +541,7 @@ CITATION_HELPER_JS = r'''
});
lastIdx = match.index + match[0].length;
});
if (lastIdx < text.length) {
const s = document.createElement('span');
s.className = 'sxng-chunk';
@@ -600,23 +599,6 @@ INTERACTIVE_JS = r'''
_ms.appendChild(_o);
}
}
if (window.getComputedStyle && box) {
try {
const docStyles = getComputedStyle(document.documentElement);
let accent = docStyles.getPropertyValue('--color-result-link').trim();
if (!accent) {
const a = document.createElement('a');
document.body.appendChild(a);
accent = getComputedStyle(a).color;
document.body.removeChild(a);
}
if (accent) {
box.style.setProperty('--color-result-link', accent);
box.style.setProperty('--sxng-ai-accent', accent);
}
} catch(e) {}
}
// conversation saved as base64 URL fragment.
const updateState = () => {
try {
@@ -636,13 +618,13 @@ INTERACTIVE_JS = r'''
}
return btoa(bin);
};
let b64 = encodeB64(state);
while (b64.length > 2000 && state.t.length > 2) {
state.t.splice(1, 2); // Delete in Q&A pairs
b64 = encodeB64(state);
}
history.replaceState(null, null, '#ai=' + b64);
} catch(e) {}
};
@@ -658,17 +640,17 @@ INTERACTIVE_JS = r'''
if (state.u && Array.isArray(state.u)) {
urls = state.u;
}
conversation.turns = state.t.map(t => ({
role: t.r === 'u' ? 'user' : 'assistant',
content: t.c.trim(),
ts: 0
}));
const injectCitations = (text) => {
return renderCitations(text, urls);
};
data.innerHTML = '';
conversation.turns.forEach((turn, i) => {
if (turn.role === 'user') {
@@ -686,7 +668,6 @@ INTERACTIVE_JS = r'''
}
});
box.style.display = 'block';
if(wrapper) wrapper.style.display = '';
if(footer && is_interactive) footer.style.display = 'flex';
restored = true;
}
@@ -756,10 +737,10 @@ INTERACTIVE_JS = r'''
const handleAction = async (e) => {
if (e) e.preventDefault();
const val = input.value.trim();
conversation.turns.push({role: 'user', content: val, ts: Date.now()});
updateState();
const currentText = conversation.turns.slice(0, -1).slice(-6)
.map(t => (t.role === 'user' ? 'Q' : 'A') + ': ' + t.content)
.join('\\n\\n');
@@ -782,7 +763,7 @@ INTERACTIVE_JS = r'''
const newCursor = document.createElement('span');
newCursor.className = 'sxng-cursor';
data.appendChild(newCursor);
const synthesized = synthesizeQuery(q_init, val);
let auxContext = null;
try {
@@ -799,7 +780,7 @@ INTERACTIVE_JS = r'''
}
}
} catch (err) {}
await startStream(val, currentText, auxContext);
updateState();
} else {
@@ -871,16 +852,92 @@ FRONTEND_JS_TEMPLATE = r"""
const conversation = {
originalQuery: q_init,
originalContext: new TextDecoder().decode(Uint8Array.from(atob(b64_init), c => c.charCodeAt(0))),
originalSources: [...urls],
turns: [{role: 'user', content: q_init, ts: Date.now()}]
};
const box = document.getElementById('sxng-stream-box');
const data = document.getElementById('sxng-stream-data');
const wrapper = box.closest('.answer');
if (wrapper) wrapper.style.display = 'none';
(function applyTheme() {
try {
const root = document.documentElement;
const s = getComputedStyle(root);
const get = (v, fallback) => s.getPropertyValue(v).trim() || fallback;
const theme = {
'--color-answer-background': get('--color-answer-background', '#313338'),
'--color-answer-font': get('--color-answer-font', '#fff'),
'--color-result-link': get('--color-result-link', '#8aacf7'),
'--color-base-font': get('--color-base-font', '#cdd6f4'),
'--color-sidebar-bg': get('--color-sidebar-bg', '#424247'),
'--color-result-hover': get('--color-result-hover', '#303033'),
'--color-base-background': get('--color-base-background', '#2a2a2e'),
'--color-search-font': get('--color-search-font', '#bbb'),
'--color-result-border': get('--color-result-border', '#4c566a'),
'--color-result-description':get('--color-result-description', '#d8dee9'),
'--color-toolkit-select-background': get('--color-toolkit-select-background', '#313338'),
};
// Apply to box and any ai-answers container
const targets = [box, document.getElementById('ai-answers')].filter(Boolean);
targets.forEach(el => {
Object.entries(theme).forEach(([k, v]) => {
if (v) el.style.setProperty(k, v);
});
});
} catch(e) {}
})();
// Move AI Overview outside #answers, place it before #results
(function relocateBox() {
const answersDiv = document.getElementById('answers');
if (!box || !answersDiv) return;
// Create our own container
const aiContainer = document.createElement('div');
aiContainer.id = 'ai-answers';
const rootStyle = getComputedStyle(document.documentElement);
const getVar = (v, fb) => rootStyle.getPropertyValue(v).trim() || fb;
const bg = getVar('--color-answer-background', '');
const answerFont = getVar('--color-answer-font', '');
// Detect light mode by checking if answer font is dark
const isLight = answerFont && (answerFont.includes('0,0,0') ||
answerFont.includes('#000') || answerFont.includes('#333') ||
answerFont.includes('#444') || answerFont.includes('rgb(0') ||
answerFont.includes('rgb(3') || answerFont.includes('rgb(4') ||
answerFont.includes('rgb(5') || answerFont.includes('rgb(6'));
const containerBg = isLight
? 'rgba(0,0,0,0.06)'
: (bg || 'var(--color-answer-background, #313338)');
aiContainer.style.cssText = [
`background: ${containerBg}`,
'padding: 1rem',
'margin: 0 0 1rem 0',
`color: ${getVar('--color-answer-font', 'var(--color-answer-font, #fff)')}`,
'border-radius: 8px',
'box-sizing: border-box',
'width: 100%'
].join('; ');
// Move our box into the new container
aiContainer.appendChild(box);
const resultsGrid = document.getElementById('results');
if (resultsGrid) {
// Insert as first child of #results grid so grid-area:answers applies
resultsGrid.insertBefore(aiContainer, resultsGrid.firstChild);
} else {
answersDiv.parentNode.insertBefore(aiContainer, answersDiv);
}
// Hide #answers entirely since our box is now elsewhere
answersDiv.style.display = 'none';
})();
let restored = false;
let isStreaming = false;
__CITATION_HELPER_JS__
(function applyIntentBadge() {
@@ -943,11 +1000,10 @@ FRONTEND_JS_TEMPLATE = r"""
console.warn('[AI Answers] Stream already in progress, ignoring duplicate call');
return;
}
isStreaming = true;
try {
const ctx = auxContext || conversation.originalContext;
if (wrapper) wrapper.style.display = '';
box.style.display = 'block';
const controller = new AbortController();
@@ -1002,6 +1058,11 @@ FRONTEND_JS_TEMPLATE = r"""
data.appendChild(cursor);
}
const streamContainer = document.createElement('div');
streamContainer.className = 'sxng-stream-container';
if (cursor) cursor.before(streamContainer);
else data.appendChild(streamContainer);
let buffer = '';
let fullText = '';
const flushBuffer = (force = false) => {
@@ -1009,8 +1070,7 @@ FRONTEND_JS_TEMPLATE = r"""
if (force) {
const fragment = renderCitations(buffer, urls);
if (cursor) cursor.before(fragment);
else data.appendChild(fragment);
streamContainer.appendChild(fragment);
buffer = '';
return;
}
@@ -1025,12 +1085,12 @@ FRONTEND_JS_TEMPLATE = r"""
const s = document.createElement('span');
s.className = 'sxng-chunk';
s.textContent = preText;
cursor.before(s);
streamContainer.appendChild(s);
}
const citationText = match[0];
const fragment = renderCitations(citationText, urls);
cursor.before(fragment);
streamContainer.appendChild(fragment);
buffer = buffer.substring(match.index + match[0].length);
}
@@ -1041,7 +1101,7 @@ FRONTEND_JS_TEMPLATE = r"""
const s = document.createElement('span');
s.className = 'sxng-chunk';
s.textContent = buffer;
cursor.before(s);
streamContainer.appendChild(s);
buffer = '';
}
} else {
@@ -1050,7 +1110,7 @@ FRONTEND_JS_TEMPLATE = r"""
const s = document.createElement('span');
s.className = 'sxng-chunk';
s.textContent = safeChunk;
cursor.before(s);
streamContainer.appendChild(s);
}
buffer = buffer.substring(openIdx);
@@ -1058,7 +1118,7 @@ FRONTEND_JS_TEMPLATE = r"""
const s = document.createElement('span');
s.className = 'sxng-chunk';
s.textContent = buffer[0];
cursor.before(s);
streamContainer.appendChild(s);
buffer = buffer.substring(1);
}
}
@@ -1120,11 +1180,9 @@ FRONTEND_JS_TEMPLATE = r"""
}
}
streamContainer.remove();
if (cursor) cursor.remove();
// Remove only the streamed chunk spans added during this stream
Array.from(data.querySelectorAll('.sxng-chunk')).forEach(node => node.remove());
const rendered = parseMarkdown(fullText.trim());
const mdDiv = document.createElement('div');
mdDiv.className = 'sxng-md-content';
@@ -1151,13 +1209,13 @@ FRONTEND_JS_TEMPLATE = r"""
console.error('[AI Answers] Fatal stream exception:', e);
const errSpan = document.createElement('span');
errSpan.style.cssText = 'color: #bf616a; font-weight: bold; display: block; margin-top: 0.5rem;';
if (e.name === 'AbortError') {
errSpan.textContent = "⚠️ Connection to AI provider timed out.";
} else {
errSpan.textContent = "⚠️ AI Widget encountered a fatal error. Check browser console.";
}
if (data) {
const cursor = data.querySelector('.sxng-cursor');
if (cursor) cursor.remove();
@@ -1288,8 +1346,6 @@ INTENT_CONFIGS = {
},
}
import typing
if typing.TYPE_CHECKING:
from searx.search import SearchWithPlugins
from searx.extended_types import SXNG_Request
@@ -1379,7 +1435,7 @@ class SXNGPlugin(Plugin):
'content': str(ib.get('content') or '')[:2000],
'attributes': ib.get('attributes', [])
})
answers = []
for a in list(raw_answers)[:2]:
ans_text = ""
@@ -1389,7 +1445,7 @@ class SXNGPlugin(Plugin):
ans_text = str(a['answer'])
if ans_text and 'id="sxng-stream-box"' not in ans_text and not ans_text.strip().startswith('<'):
answers.append(ans_text)
return results, infoboxes, answers
def init(self, app):
@@ -1397,10 +1453,10 @@ class SXNGPlugin(Plugin):
def ai_auxiliary_search():
if not self.api_key:
abort(403)
data = request.json or {}
token = data.get('tk', '')
# Token access control
try:
ts, sig = token.rsplit('.', 1)
@@ -1420,13 +1476,13 @@ class SXNGPlugin(Plugin):
offset = data.get('offset', 0)
if not query:
return jsonify({'results': []})
try:
from searx.search import SearchWithPlugins
from searx.search.models import SearchQuery
from searx.query import RawTextQuery
from searx.webadapter import get_engineref_from_category_list
preferences = getattr(request, 'preferences', None)
disabled_engines = preferences.engines.get_disabled() if preferences else []
rtq = RawTextQuery(query, disabled_engines)
@@ -1434,7 +1490,7 @@ class SXNGPlugin(Plugin):
category_list = [c.strip() for c in categories.split(',') if c.strip()]
else:
category_list = categories or ['general']
enginerefs = get_engineref_from_category_list(category_list, disabled_engines)
sq = SearchQuery(
query=rtq.getQuery(),
@@ -1444,19 +1500,19 @@ class SXNGPlugin(Plugin):
)
search_obj = SearchWithPlugins(sq, request, user_plugins=[])
result_container = search_obj.search()
raw_results = result_container.get_ordered_results()
raw_infoboxes = getattr(result_container, 'infoboxes', [])
raw_answers = getattr(result_container, 'answers', [])
results, infoboxes, answers = self._parse_aux_results(raw_results, raw_infoboxes, raw_answers)
context_str, new_urls = self._assemble_context(results, infoboxes, answers, offset)
return jsonify({
'context': context_str,
'new_urls': new_urls,
'results': results,
'results': results,
'infoboxes': infoboxes,
'answers': answers,
'query': query
@@ -1669,6 +1725,16 @@ class SXNGPlugin(Plugin):
job_id = hashlib.sha256(f"{time.time()}{q}".encode()).hexdigest()[:16]
# Persist intent for dev UI
logger.warning(f"INTENT BEFORE PERSIST: {repr(intent)}")
logger.warning(f"JOB_ID BEFORE PERSIST: {repr(job_id)}")
try:
vk = _get_valkey()
vk.setex(f"ai:job:{job_id}:intent", 3600, intent)
logger.debug(f"{PLUGIN_NAME}: persisted intent '{intent}' for job {job_id}")
except Exception:
logger.exception(f"{PLUGIN_NAME}: failed to persist intent")
payload_dict = {
"model": effective_model,
"messages": [
@@ -1876,12 +1942,12 @@ class SXNGPlugin(Plugin):
"""Builds context string from normalized search data. Returns (context_str, urls)."""
context_parts = []
result_urls = []
knowledge_graph_lines = []
for ib in infoboxes:
ib_name = ib.get('name', '') or ib.get('infobox', '') or ib.get('title', '')
ib_content = str(ib.get('content', '')).replace('\n', ' ').strip()
if ib_name:
parts = [f"INFOBOX [{ib_name}]:"]
if ib_content:
@@ -1891,16 +1957,16 @@ class SXNGPlugin(Plugin):
attr_value = attr.get('value', '')
if attr_label and attr_value:
parts.append(f" {attr_label}: {attr_value}")
knowledge_graph_lines.append(" ".join(parts) if len(parts) == 2 else "\n".join(parts))
for ans_text in answers:
if ans_text and not str(ans_text).startswith('<'):
knowledge_graph_lines.append(f"ANSWER: {str(ans_text)[:300]}")
if knowledge_graph_lines:
context_parts.append("KNOWLEDGE GRAPH:\n" + "\n".join(knowledge_graph_lines))
deep_lines = []
for i, r in enumerate(clean_results[:self.context_deep_count]):
url = r.get('url', '')
@@ -1916,10 +1982,10 @@ class SXNGPlugin(Plugin):
logger.debug(f"{PLUGIN_NAME}: falling back to snippet for [{idx}] {domain}")
content = str(r.get('content', '')).replace('\n', ' ').strip()[:800]
deep_lines.append(f"[{idx}] {domain}{date_str}: {title}: {content}")
if deep_lines:
context_parts.append("DEEP SOURCES:\n" + "\n".join(deep_lines))
if self.context_shallow_count > 0:
shallow_lines = []
start_idx = self.context_deep_count
@@ -1931,10 +1997,10 @@ class SXNGPlugin(Plugin):
title = r.get('title', '').replace('\n', ' ').strip()[:60]
idx = i + 1 + start_idx + offset
shallow_lines.append(f"[{idx}] {domain}: {title}")
if shallow_lines:
context_parts.append("SHALLOW SOURCES (headlines):\n" + "\n".join(shallow_lines))
return "\n\n".join(context_parts), result_urls
def post_search(self, request: "SXNG_Request", search: "SearchWithPlugins") -> EngineResults:
@@ -1958,7 +2024,7 @@ class SXNGPlugin(Plugin):
raw_results = search.result_container.get_ordered_results()
raw_infoboxes = getattr(search.result_container, 'infoboxes', [])
raw_answers = getattr(search.result_container, 'answers', [])
q_clean = search.search_query.query.strip()
clean_results, infoboxes, answers = self._parse_aux_results(raw_results, raw_infoboxes, raw_answers)
clean_results = self._enrich_results(clean_results, q_clean)
@@ -1981,12 +2047,23 @@ class SXNGPlugin(Plugin):
detected_intent = _detect_intent(q_clean)
js_intent = safe_json(detected_intent)
# Persist intent for dev tooling / UI
try:
vk = _get_valkey()
vk.setex(
f"ai:job:{job_id}:intent",
1800,
detected_intent
)
except Exception as e:
logger.debug(f"{PLUGIN_NAME}: failed to persist intent: {e}")
b64_context = base64.b64encode(context_str.encode('utf-8')).decode('utf-8')
total_context_count = self.context_deep_count + self.context_shallow_count
raw_urls = [r.get('url', '') for r in clean_results[:total_context_count]]
js_q = safe_json(q_clean)
js_lang = safe_json(lang)
js_urls = safe_json(raw_urls)
@@ -2028,7 +2105,7 @@ class SXNGPlugin(Plugin):
.replace("__JS_Q__", js_q)
html_payload = f'''
<article id="sxng-stream-box" class="answer" style="display:none; margin-top: 0; margin-bottom: 0;">
<article id="sxng-stream-box" class="answer" style="display:none; margin: 0; padding: 0;">
<style>
@keyframes sxng-fade-pulse {{
0%, 100% {{ opacity: 0.1; }}
@@ -2078,11 +2155,11 @@ class SXNGPlugin(Plugin):
</style>
<div class="sxng-ai-header">
<span class="sxng-ai-label">
<span style="color:#4a9eff;font-size:1.1em;">✦</span> AI Overview
<span style="color:var(--color-result-link, #4a9eff);font-size:1.1em;">✦</span> AI Overview
</span>
<select id="sxng-model-select" class="sxng-model-select" title="Select model"></select>
</div>
<p id="sxng-stream-data" style="white-space: pre-wrap; color: var(--color-result-description); font-size: 0.95rem; margin:0;"><span class="sxng-cursor"></span></p>
<p id="sxng-stream-data" style="white-space: pre-wrap; color: var(--color-answer-font, var(--color-result-description, inherit)); font-size: 0.95rem; margin:0;"><span class="sxng-cursor"></span></p>
{interactive_html}
<script>
{js_code}
@@ -2092,4 +2169,4 @@ class SXNGPlugin(Plugin):
search.result_container.answers.add(results.types.Answer(answer=Markup(html_payload)))
except Exception as e:
logger.error(f"{PLUGIN_NAME}: {e}")
return results
return results
requirements.txt
+1
View File
@@ -1,3 +1,4 @@
flask
flask-babel
certifi
python-dotenv