feat: robust stateless hybrid architecture using base64 context handover

gemini_flash.py

@@ -1,5 +1,5 @@
-import json, secrets, time, http.client, ssl, os, logging, html, urllib.parse
+import json, http.client, ssl, os, logging, base64
-from flask import Response, request, abort
+from flask import Response, request
 from searx.plugins import Plugin, PluginInfo
 from searx.result_types import EngineResults
 from flask_babel import gettext
@@ -19,181 +19,107 @@ class SXNGPlugin(Plugin):
             preference_section="general", 
         )
         self.api_key = os.getenv('GEMINI_API_KEY')
-        self.model = os.getenv('GEMINI_MODEL', 'gemini-3-flash-preview')
+        self.model = os.getenv('GEMINI_MODEL', 'gemini-1.5-flash')
-        self.tokens = {}
-
-        if not self.api_key:
-            logger.error(f"[{self.id}] API Key missing! Set GEMINI_API_KEY env var.")
-        else:
-            logger.info(f"[{self.id}] Initialized with model: {self.model}")
 
     def init(self, app):
-        @app.route('/gemini-stream')
+        @app.route('/gemini-stream', methods=['POST'])
         def g_stream():
-            t = request.args.get('token')
+            data = request.json or {}
-            q = request.args.get('q', '')
+            context_text = data.get('context', '')
+            q = data.get('q', '')
 
-            # Maintenance: handle dict structure
+            if not self.api_key or not q:
-            current_time = time.time()
+                return Response("Error: Missing Key or Query", status=400)
-            self.tokens = {k: v for k, v in self.tokens.items() if v['expires'] > current_time}
-            
-            if t not in self.tokens or not self.api_key:
-                abort(403)
-            
-            token_data = self.tokens[t]
-            context_text = token_data.get('context', '')
-            del self.tokens[t]
 
             def generate():
                 host = "generativelanguage.googleapis.com"
                 path = f"/v1beta/models/{self.model}:streamGenerateContent?key={self.api_key}"
                 try:
-                    context = ssl.create_default_context()
+                    conn = http.client.HTTPSConnection(host, context=ssl.create_default_context())
-                    conn = http.client.HTTPSConnection(host, context=context)
+                    prompt = f"Using these SEARCH RESULTS, answer the USER QUERY concisely (<4 sentences). If results are irrelevant, say so.\n\nRESULTS:\n{context_text}\n\nUSER QUERY: {q}"
-                    
+                    payload = {"contents": [{"parts": [{"text": prompt}]}], "generationConfig": {"maxOutputTokens": 400, "temperature": 0.3}}
-                    # RAG PROMPT
+                    conn.request("POST", path, body=json.dumps(payload), headers={"Content-Type": "application/json"})
-                    prompt = f"""
-You are a concise search assistant. Use the provided SEARCH RESULTS to answer the USER QUERY.
-If the results don't contain the answer, use your knowledge but prioritize the results.
-Keep the answer under 4 sentences.
-
-SEARCH RESULTS:
-{context_text}
-
-USER QUERY: {q}
-"""
-                    payload = {
-                        "contents": [{"parts": [{"text": prompt}]}],
-                        "generationConfig": {
-                            "maxOutputTokens": 500,
-                            "temperature": 0.2 # Lower temperature for better factual accuracy
-                        }
-                    }
-                    
-                    conn.request("POST", path, body=json.dumps(payload), 
-                                 headers={"Content-Type": "application/json"})
                     res = conn.getresponse()
                     
                     buffer = ""
                     for chunk in res:
                         if not chunk: continue
                         buffer += chunk.decode('utf-8')
-                        
                         while True:
                             start = buffer.find('{')
-                            if start == -1: 
+                            if start == -1: break
-                                buffer = "" # Clear garbage
+                            brace_count, end = 0, -1
-                                break
-                                
-                            brace_count = 0
-                            end = -1
                             for i in range(start, len(buffer)):
                                 if buffer[i] == '{': brace_count += 1
                                 elif buffer[i] == '}': brace_count -= 1
                                 if brace_count == 0:
                                     end = i + 1
                                     break
-                            
+                            if end == -1: break
-                            if end == -1: break # Wait for more data
-                            
                             try:
-                                raw_json = buffer[start:end]
+                                data = json.loads(buffer[start:end])
-                                data = json.loads(raw_json)
+                                candidates = data.get('candidates', [])
-                                parts = data.get('candidates', [{}])[0].get('content', {}).get('parts', [])
+                                if candidates:
-                                for part in parts:
+                                    text = candidates[0]['content']['parts'][0]['text']
-                                    text = part.get('text', '')
+                                    if text: yield text
-                                    if text:
+                            except: pass
-                                        yield text
-                            except Exception:
-                                pass
-                            
                             buffer = buffer[end:]
                     conn.close()
                 except Exception as e:
-                    logger.error(f"[{self.id}] Stream error: {e}")
                     yield f" [Error: {str(e)}]"
 
-            return Response(generate(), mimetype='text/plain', headers={
+            return Response(generate(), mimetype='text/plain', headers={'X-Accel-Buffering': 'no'})
-                'Cache-Control': 'no-cache, no-store, must-revalidate',
-                'Pragma': 'no-cache',
-                'Expires': '0',
-                'X-Accel-Buffering': 'no'
-            })
-
-        @app.route('/gemini.js')
-        def g_script():
-            token = request.args.get('token', '')
-            query = request.args.get('q', '')
-            
-            js_query = json.dumps(query)
-            js_token = json.dumps(token)
-
-            js_code = f"""
-            (async () => {{
-                const shell = document.getElementById('ai-shell');
-                const out = document.getElementById('ai-out');
-                if (!shell || !out) return;
-                
-                const token = {js_token};
-                const query = {js_query};
-                
-                try {{
-                    const res = await fetch(`/gemini-stream?token=${{token}}&q=` + encodeURIComponent(query));
-                    if (!res.ok) throw new Error(res.statusText);
-                    
-                    const reader = res.body.getReader();
-                    const decoder = new TextDecoder();
-                    while (true) {{
-                        const {{done, value}} = await reader.read();
-                        if (done) break;
-                        const chunk = decoder.decode(value);
-                        if (chunk.trim()) {{
-                            shell.style.display = 'block';
-                            out.innerText += chunk;
-                        }}
-                    }}
-                }} catch (e) {{ console.error("Gemini Stream Failed", e); }}
-            }})();
-            """
-            return Response(js_code, mimetype='application/javascript')
-        
         return True
 
     def post_search(self, request, search) -> EngineResults:
         results = EngineResults()
-        if search.search_query.pageno > 1 or not self.active or not self.api_key:
+        if not self.active or not self.api_key or search.search_query.pageno > 1:
             return results
 
-        # Extract context from top 5 search results for RAG
-        context_parts = []
         raw_results = search.result_container.get_ordered_results()
-        for i, res in enumerate(raw_results[:5]):
+        context_list = [f"[{i+1}] {r.get('title')}: {r.get('content')}" for i, r in enumerate(raw_results[:6])]
-            title = res.get('title', 'No Title')
+        context_str = "\n".join(context_list)
-            content = res.get('content', 'No Content')
-            context_parts.append(f"Source [{i+1}]: {title}\nSnippet: {content}")
 
-        context_str = "\n\n".join(context_parts)
+        # Base64 Encode to ensure HTML safety
+        b64_context = base64.b64encode(context_str.encode('utf-8')).decode('utf-8')
+        js_q = json.dumps(search.search_query.query)
 
-        tk = secrets.token_urlsafe(16)
-        self.tokens[tk] = {
-            "expires": time.time() + 90,
-            "context": context_str
-        }
-        
-        logger.debug(f"[{self.id}] Prepared RAG context for query: {search.search_query.query[:20]}...")
-
-        # Encode query for the URL parameter in the script tag
-        safe_query_param = urllib.parse.quote(search.search_query.query)
-        
-        # HTML Payload:
-        # 1. The Container (Hidden by default)
-        # 2. The Script Tag (Pointing to our dynamic route with params)
         html_payload = f'''
         <div id="ai-shell" style="display:none; margin-bottom: 2rem; padding: 1.2rem; border-bottom: 1px solid var(--color-result-border);">
-            <div id="ai-out" style="line-height: 1.7; white-space: pre-wrap; color: var(--color-result-description); font-size: 0.95rem;"></div>
+            <div id="ai-out" style="line-height: 1.7; white-space: pre-wrap; color: var(--color-result-description); font-size: 0.95rem;">Thinking...</div>
         </div>
-        <script src="/gemini.js?token={tk}&q={safe_query_param}"></script>
+        <script>
-        '''
+        (async () => {{
+            const q = {js_q};
+            const b64 = "{b64_context}";
+            const shell = document.getElementById('ai-shell');
+            const out = document.getElementById('ai-out');
             
+            const container = document.getElementById('urls') || document.getElementById('main_results');
+            if (container && shell) {{ container.prepend(shell); shell.style.display = 'block'; }}
+
+            try {{
+                // Decode context client-side
+                const ctx = new TextDecoder().decode(Uint8Array.from(atob(b64), c => c.charCodeAt(0)));
+                
+                const res = await fetch('/gemini-stream', {{
+                    method: 'POST',
+                    headers: {{ 'Content-Type': 'application/json' }},
+                    body: JSON.stringify({{ q: q, context: ctx }})
+                }});
+                
+                const reader = res.body.getReader();
+                const decoder = new TextDecoder();
+                out.innerText = "";
+                
+                while (true) {{
+                    const {{done, value}} = await reader.read();
+                    if (done) break;
+                    out.innerText += decoder.decode(value);
+                }}
+            }} catch (e) {{ console.error(e); out.innerText += " [Error]"; }}
+        }})();
+        </script>
+        '''
         results.add(results.types.Answer(answer=Markup(html_payload)))
         return results