diff --git a/SingleEngineApp/insight_engine_streamlit_app.py b/SingleEngineApp/insight_engine_streamlit_app.py
index 65616a1..b5a01f3 100644
--- a/SingleEngineApp/insight_engine_streamlit_app.py
+++ b/SingleEngineApp/insight_engine_streamlit_app.py
@@ -20,13 +20,25 @@ def main():
"""主函数"""
st.set_page_config(
page_title="Insight Agent",
- page_icon="",
+ page_icon="🔍",
layout="wide"
)
st.title("Insight Agent")
st.markdown("私有舆情数据库深度分析AI代理")
+ # 检查URL参数
+ try:
+ # 尝试使用新版本的query_params
+ query_params = st.query_params
+ auto_query = query_params.get('query', '')
+ auto_search = query_params.get('auto_search', 'false').lower() == 'true'
+ except AttributeError:
+ # 兼容旧版本
+ query_params = st.experimental_get_query_params()
+ auto_query = query_params.get('query', [''])[0]
+ auto_search = query_params.get('auto_search', ['false'])[0].lower() == 'true'
+
# ----- 配置被硬编码 -----
# 强制使用 Kimi
llm_provider = "kimi"
@@ -40,8 +52,13 @@ def main():
with col1:
st.header("研究查询")
+
+ # 如果有自动查询，使用它作为默认值
+ default_query = auto_query if auto_query else ""
+
query = st.text_area(
"请输入您要研究的问题",
+ value=default_query,
placeholder="例如：2025年人工智能发展趋势",
height=100
)
@@ -60,6 +77,12 @@ def main():
col1_btn, col2_btn, col3_btn = st.columns([1, 1, 1])
with col2_btn:
start_research = st.button("开始研究", type="primary", use_container_width=True)
+
+ # 自动搜索逻辑
+ if auto_search and auto_query and 'auto_search_executed' not in st.session_state:
+ st.session_state.auto_search_executed = True
+ start_research = True
+ query = auto_query
# 验证配置
if start_research:
diff --git a/SingleEngineApp/media_engine_streamlit_app.py b/SingleEngineApp/media_engine_streamlit_app.py
index 0e488b6..75aa873 100644
--- a/SingleEngineApp/media_engine_streamlit_app.py
+++ b/SingleEngineApp/media_engine_streamlit_app.py
@@ -20,13 +20,25 @@ def main():
"""主函数"""
st.set_page_config(
page_title="Media Agent",
- page_icon="",
+ page_icon="🔍",
layout="wide"
)
st.title("Media Agent")
st.markdown("具备强大多模态能力的AI代理")
+ # 检查URL参数
+ try:
+ # 尝试使用新版本的query_params
+ query_params = st.query_params
+ auto_query = query_params.get('query', '')
+ auto_search = query_params.get('auto_search', 'false').lower() == 'true'
+ except AttributeError:
+ # 兼容旧版本
+ query_params = st.experimental_get_query_params()
+ auto_query = query_params.get('query', [''])[0]
+ auto_search = query_params.get('auto_search', ['false'])[0].lower() == 'true'
+
# ----- 配置被硬编码 -----
# 强制使用 Gemini
llm_provider = "gemini"
@@ -40,8 +52,13 @@ def main():
with col1:
st.header("研究查询")
+
+ # 如果有自动查询，使用它作为默认值
+ default_query = auto_query if auto_query else ""
+
query = st.text_area(
"请输入您要研究的问题",
+ value=default_query,
placeholder="例如：2025年人工智能发展趋势",
height=100
)
@@ -60,6 +77,12 @@ def main():
col1_btn, col2_btn, col3_btn = st.columns([1, 1, 1])
with col2_btn:
start_research = st.button("开始研究", type="primary", use_container_width=True)
+
+ # 自动搜索逻辑
+ if auto_search and auto_query and 'auto_search_executed' not in st.session_state:
+ st.session_state.auto_search_executed = True
+ start_research = True
+ query = auto_query
# 验证配置
if start_research:
diff --git a/SingleEngineApp/query_engine_streamlit_app.py b/SingleEngineApp/query_engine_streamlit_app.py
index 5745063..10d8745 100644
--- a/SingleEngineApp/query_engine_streamlit_app.py
+++ b/SingleEngineApp/query_engine_streamlit_app.py
@@ -27,6 +27,18 @@ def main():
st.title("Query Agent")
st.markdown("具备强大网页搜索能力的AI代理")
+ # 检查URL参数
+ try:
+ # 尝试使用新版本的query_params
+ query_params = st.query_params
+ auto_query = query_params.get('query', '')
+ auto_search = query_params.get('auto_search', 'false').lower() == 'true'
+ except AttributeError:
+ # 兼容旧版本
+ query_params = st.experimental_get_query_params()
+ auto_query = query_params.get('query', [''])[0]
+ auto_search = query_params.get('auto_search', ['false'])[0].lower() == 'true'
+
# ----- 配置被硬编码 -----
# 强制使用 DeepSeek
llm_provider = "deepseek"
@@ -40,8 +52,13 @@ def main():
with col1:
st.header("研究查询")
+
+ # 如果有自动查询，使用它作为默认值
+ default_query = auto_query if auto_query else ""
+
query = st.text_area(
"请输入您要研究的问题",
+ value=default_query,
placeholder="例如：2025年人工智能发展趋势",
height=100
)
@@ -60,6 +77,12 @@ def main():
col1_btn, col2_btn, col3_btn = st.columns([1, 1, 1])
with col2_btn:
start_research = st.button("开始研究", type="primary", use_container_width=True)
+
+ # 自动搜索逻辑
+ if auto_search and auto_query and 'auto_search_executed' not in st.session_state:
+ st.session_state.auto_search_executed = True
+ start_research = True
+ query = auto_query
# 验证配置
if start_research:
diff --git a/app.py b/app.py
index a3ae9ee..5291cd8 100644
--- a/app.py
+++ b/app.py
@@ -221,6 +221,7 @@ def start_app(app_name):
processes[app_name]['port']
)
+
if success:
# 等待应用启动
startup_success, startup_message = wait_for_app_startup(app_name, 15)
diff --git a/templates/index.html b/templates/index.html
index 2af0744..5df72ef 100644
--- a/templates/index.html
+++ b/templates/index.html
@@ -106,6 +106,7 @@
.embedded-content {
height: calc(100% - 60px);
position: relative;
+ overflow: hidden;
}
/* 控制台输出区域 */
@@ -332,6 +333,11 @@
setInterval(updateTime, 1000);
checkStatus();
setInterval(checkStatus, 5000);
+
+ // 延迟预加载iframe以确保应用启动完成
+ setTimeout(() => {
+ preloadIframes();
+ }, 3000);
});
// Socket.IO连接
@@ -389,29 +395,49 @@
button.disabled = true;
button.innerHTML = ' 搜索中...';
- fetch('/api/search', {
- method: 'POST',
- headers: {
- 'Content-Type': 'application/json',
- },
- body: JSON.stringify({ query: query })
- })
- .then(response => response.json())
- .then(data => {
- if (data.success) {
- showMessage('搜索请求已发送到所有运行中的应用', 'success');
- } else {
- showMessage(data.message || '搜索失败', 'error');
+ // 确保所有iframe已初始化
+ if (!iframesInitialized) {
+ preloadIframes();
+ }
+
+ // 向所有运行中的应用发送搜索请求（通过新窗口方式避免刷新现有iframe）
+ let totalRunning = 0;
+ const ports = { insight: 8501, media: 8502, query: 8503 };
+
+ Object.keys(appStatus).forEach(app => {
+ if (appStatus[app] === 'running') {
+ totalRunning++;
+
+ // 为每个应用创建一个临时的搜索iframe，避免干扰主iframe
+ const searchIframe = document.createElement('iframe');
+ searchIframe.style.display = 'none';
+ searchIframe.style.position = 'absolute';
+ searchIframe.style.top = '-9999px';
+
+ const searchUrl = `http://localhost:${ports[app]}?query=${encodeURIComponent(query)}&auto_search=true`;
+ console.log(`向 ${app} 发送搜索请求: ${searchUrl}`);
+
+ searchIframe.src = searchUrl;
+ document.body.appendChild(searchIframe);
+
+ // 几秒后移除临时iframe
+ setTimeout(() => {
+ if (searchIframe.parentNode) {
+ searchIframe.parentNode.removeChild(searchIframe);
+ }
+ }, 5000);
}
- })
- .catch(error => {
- console.error('搜索错误:', error);
- showMessage('搜索请求失败', 'error');
- })
- .finally(() => {
+ });
+
+ if (totalRunning === 0) {
button.disabled = false;
button.innerHTML = '搜索';
- });
+ showMessage('没有运行中的应用，无法执行搜索', 'error');
+ } else {
+ button.disabled = false;
+ button.innerHTML = '搜索';
+ showMessage(`已向 ${totalRunning} 个应用发送搜索请求`, 'success');
+ }
}
// 切换应用
@@ -472,6 +498,40 @@
consoleOutput.scrollTop = consoleOutput.scrollHeight;
}
+ // 预加载的iframe存储
+ let preloadedIframes = {};
+ let iframesInitialized = false;
+
+ // 预加载所有iframe（只执行一次）
+ function preloadIframes() {
+ if (iframesInitialized) return;
+
+ const ports = { insight: 8501, media: 8502, query: 8503 };
+ const content = document.getElementById('embeddedContent');
+
+ for (const [app, port] of Object.entries(ports)) {
+ const iframe = document.createElement('iframe');
+ iframe.src = `http://localhost:${port}`;
+ iframe.style.width = '100%';
+ iframe.style.height = '100%';
+ iframe.style.border = 'none';
+ iframe.style.position = 'absolute';
+ iframe.style.top = '0';
+ iframe.style.left = '0';
+ iframe.style.display = 'none';
+ iframe.id = `iframe-${app}`;
+
+ // 直接添加到content区域
+ content.appendChild(iframe);
+ preloadedIframes[app] = iframe;
+
+ console.log(`预加载 ${app} 应用完成`);
+ }
+
+ iframesInitialized = true;
+ console.log('所有iframe预加载完成，准备进行无缝切换');
+ }
+
// 更新嵌入页面
function updateEmbeddedPage(app) {
const header = document.getElementById('embeddedHeader');
@@ -485,16 +545,47 @@
header.textContent = appNames[app] || app;
- // 如果应用正在运行，显示iframe
+ // 如果应用正在运行，显示对应的iframe
if (appStatus[app] === 'running') {
- const ports = { insight: 8501, media: 8502, query: 8503 };
- content.innerHTML = ``;
+ // 确保iframe已初始化
+ if (!iframesInitialized) {
+ preloadIframes();
+ }
+
+ // 隐藏所有iframe
+ Object.values(preloadedIframes).forEach(iframe => {
+ iframe.style.display = 'none';
+ });
+
+ // 移除占位符
+ const placeholder = content.querySelector('.status-placeholder');
+ if (placeholder) {
+ placeholder.remove();
+ }
+
+ // 显示当前应用的iframe
+ if (preloadedIframes[app]) {
+ preloadedIframes[app].style.display = 'block';
+ console.log(`切换到 ${app} 应用 - 无刷新切换`);
+ }
} else {
- content.innerHTML = `
-
-
${appNames[app]} 未运行
-
状态: ${appStatus[app]}
-
${appNames[app]} 未运行
+ 状态: ${appStatus[app]}
`;
}
}
@@ -514,10 +605,13 @@
// 更新应用状态
function updateAppStatus(data) {
for (const [app, info] of Object.entries(data)) {
- appStatus[app] = info.status;
+ // 适配实际的API格式：{app: {status: string, port: int, output_lines: int}}
+ const status = info.status === 'running' ? 'running' : 'stopped';
+ appStatus[app] = status;
+
const indicator = document.getElementById(`status-${app}`);
if (indicator) {
- indicator.className = `status-indicator ${info.status}`;
+ indicator.className = `status-indicator ${status}`;
}
}