**Global Market News**: Implemented `get_global_market_news` in Alpha Vantage module to support generic market news (topics: economy_macro, financial_markets), fixing the lack of a primary vendor for global news.
- **Configurable Embeddings Truncation**: Added `EMBEDDING_TRUNCATION_LIMIT` env var (default 1000) to prevent `413 Payload Too Large` errors with local models.
This commit is contained in:
parent
bfbc011a87
commit
0f46729f09
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@ -5,6 +5,8 @@ All notable changes to the **TradingAgents** project will be documented in this
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## [Unreleased] - 2026-01-10
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## [Unreleased] - 2026-01-10
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### Added
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### Added
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- **Global Market News**: Implemented `get_global_market_news` in Alpha Vantage module to support generic market news (topics: economy_macro, financial_markets), fixing the lack of a primary vendor for global news.
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- **Configurable Embeddings Truncation**: Added `EMBEDDING_TRUNCATION_LIMIT` env var (default 1000) to prevent `413 Payload Too Large` errors with local models.
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- **Local Embedding Service Support**: Added support for Anthropic to use local embedding service via URL
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- **Local Embedding Service Support**: Added support for Anthropic to use local embedding service via URL
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- Anthropic doesn't provide embeddings API, so users can run **Hugging Face Text Embeddings Inference (TEI)** in Docker
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- Anthropic doesn't provide embeddings API, so users can run **Hugging Face Text Embeddings Inference (TEI)** in Docker
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- Configure via `EMBEDDING_API_URL` environment variable (default: `http://localhost:11434/v1`)
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- Configure via `EMBEDDING_API_URL` environment variable (default: `http://localhost:11434/v1`)
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@ -40,6 +42,9 @@ All notable changes to the **TradingAgents** project will be documented in this
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- **Configuration Documentation**: Enhanced `.env.example` with detailed comments and examples for all configuration options
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- **Configuration Documentation**: Enhanced `.env.example` with detailed comments and examples for all configuration options
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### Fixed
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### Fixed
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- **Global News Failure**: Resolved `RuntimeError: All vendor implementations failed` for `get_global_news` by correctly mapping Alpha Vantage and implementing the missing fallback logic.
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- **Error Reporting**: Improved `interface.py` to propagate detailed error messages from failed vendors to help debugging.
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- **Embedding Crash**: Fixed crashes when processing large documents with local embedding models by enforcing strict token limits via truncation.
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- **Anthropic Embedding Error**: Resolved `404 Not Found` error when using Anthropic as LLM provider by implementing automatic fallback to local embeddings (Anthropic doesn't provide an embeddings API)
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- **Anthropic Embedding Error**: Resolved `404 Not Found` error when using Anthropic as LLM provider by implementing automatic fallback to local embeddings (Anthropic doesn't provide an embeddings API)
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### Technical Debt
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### Technical Debt
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@ -0,0 +1,255 @@
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import os
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import sys
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import json
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from pathlib import Path
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TEMPLATE = """<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Trading Agent Report - {ticker} - {date}</title>
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<script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
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<style>
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:root {
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--bg-color: #0d1117;
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--text-color: #c9d1d9;
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--border-color: #30363d;
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--accent-color: #58a6ff;
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--sidebar-bg: #161b22;
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}
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body {
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font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif;
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background-color: var(--bg-color);
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color: var(--text-color);
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margin: 0;
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padding: 0;
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display: flex;
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height: 100vh;
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}
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/* Sidebar Navigation */
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.sidebar {
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|
width: 250px;
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background-color: var(--sidebar-bg);
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|
border-right: 1px solid var(--border-color);
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padding: 20px;
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display: flex;
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flex-direction: column;
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|
}
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.logo {
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font-size: 1.2rem;
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font-weight: bold;
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color: var(--accent-color);
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margin-bottom: 30px;
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padding-bottom: 20px;
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border-bottom: 1px solid var(--border-color);
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}
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.nav-item {
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padding: 10px 15px;
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margin-bottom: 8px;
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cursor: pointer;
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border-radius: 6px;
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color: var(--text-color);
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transition: background 0.2s;
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|
}
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.nav-item:hover {
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background-color: #21262d;
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}
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.nav-item.active {
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|
background-color: #1f2937;
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color: var(--accent-color);
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border-left: 3px solid var(--accent-color);
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|
}
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|
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|
/* Main Content */
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|
.main-content {
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|
flex: 1;
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padding: 40px;
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|
overflow-y: auto;
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|
}
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|
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|
.markdown-body {
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max-width: 900px;
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|
margin: 0 auto;
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line-height: 1.6;
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}
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/* Markdown Styles (GitHub Dark Theme approximation) */
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h1, h2, h3 { color: #f0f6fc; border-bottom: 1px solid var(--border-color); padding-bottom: 0.3em; }
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h1 { font-size: 2em; }
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h2 { font-size: 1.5em; margin-top: 24px; }
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a { color: var(--accent-color); text-decoration: none; }
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a:hover { text-decoration: underline; }
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|
code {
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|
background-color: rgba(110, 118, 129, 0.4);
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padding: 0.2em 0.4em;
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|
border-radius: 6px;
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|
font-family: ui-monospace, SFMono-Regular, SF Mono, Menlo, Consolas, Liberation Mono, monospace;
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|
}
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|
pre {
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|
background-color: #161b22;
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padding: 16px;
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border-radius: 6px;
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overflow: auto;
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}
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pre code {
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|
background-color: transparent;
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padding: 0;
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}
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blockquote {
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border-left: 0.25em solid #30363d;
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color: #8b949e;
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|
padding: 0 1em;
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margin: 0;
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|
}
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table {
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border-collapse: collapse;
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|
width: 100%;
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|
margin-top: 20px;
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|
}
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table th, table td {
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|
border: 1px solid var(--border-color);
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|
padding: 8px 12px;
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|
}
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|
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|
table th {
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|
background-color: #161b22;
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|
font-weight: 600;
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|
}
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|
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|
table tr:nth-child(2n) {
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|
background-color: #0d1117;
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|
}
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hr {
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border: 0;
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border-bottom: 1px solid var(--border-color);
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|
margin: 24px 0;
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}
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/* Helper for replacing content */
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.hidden { display: none; }
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</style>
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</head>
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<body>
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|
<div class="sidebar">
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|
<div class="logo">
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🤖 Trading Agents<br>
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<span style="font-size: 0.8em; color: #8b949e">{ticker} | {date}</span>
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</div>
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<div id="nav-container">
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|
<!-- Nav text will be inserted here -->
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</div>
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</div>
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<div class="main-content">
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<div id="content" class="markdown-body">
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|
<!-- Rendered Markdown will appear here -->
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|
</div>
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|
</div>
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<script>
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// Start: Embedded Markdown Content
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const reportData = {json_data};
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// End: Embedded Markdown Content
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const navContainer = document.getElementById('nav-container');
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|
const contentDiv = document.getElementById('content');
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|
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function renderReport(key) {
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|
// Update Active Nav
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|
document.querySelectorAll('.nav-item').forEach(el => el.classList.remove('active'));
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|
document.getElementById(`nav-${key}`).classList.add('active');
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|
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|
// Render Content
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|
contentDiv.innerHTML = marked.parse(reportData[key]);
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|
window.scrollTo(0, 0);
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|
}
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|
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||||||
|
// Initialize Navigation
|
||||||
|
const keys = Object.keys(reportData);
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||||||
|
keys.forEach((key, index) => {
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|
const navItem = document.createElement('div');
|
||||||
|
navItem.className = 'nav-item';
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||||||
|
navItem.id = `nav-${key}`;
|
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|
navItem.innerText = key.replace(/_/g, ' ').replace('.md', '').toUpperCase();
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|
navItem.onclick = () => renderReport(key);
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|
navContainer.appendChild(navItem);
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|
});
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|
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|
// Load first report by default
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|
if (keys.length > 0) {
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|
renderReport(keys[0]);
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|
}
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|
</script>
|
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|
|
||||||
|
</body>
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|
</html>
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|
"""
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|
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|
def generate_report(report_dir):
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|
path = Path(report_dir)
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|
if not path.exists():
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|
print(f"Error: Directory {report_dir} not found.")
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|
return
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|
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|
# Extract info from path structure: results/TICKER/DATE/reports
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|
try:
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|
data_parts = path.parts
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|
# Assuming structure .../TICKER/DATE/reports
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|
date = data_parts[-2]
|
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|
ticker = data_parts[-3]
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||||||
|
except IndexError:
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|
date = "Unknown Date"
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|
ticker = "Unknown Ticker"
|
||||||
|
|
||||||
|
reports = {}
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||||||
|
|
||||||
|
# Read all markdown files
|
||||||
|
for file in path.glob("*.md"):
|
||||||
|
try:
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||||||
|
with open(file, 'r', encoding='utf-8') as f:
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||||||
|
content = f.read()
|
||||||
|
reports[file.name] = content
|
||||||
|
except Exception as e:
|
||||||
|
print(f"Failed to read {file}: {e}")
|
||||||
|
|
||||||
|
if not reports:
|
||||||
|
print("No markdown files found to generate report.")
|
||||||
|
return
|
||||||
|
|
||||||
|
# Sort keys to ensure consistent order (e.g. Investment Plan first if possible, or alphabetical)
|
||||||
|
# Let's prioritize investment_plan.md
|
||||||
|
sorted_keys = sorted(reports.keys(), key=lambda x: (0 if "plan" in x else 1, x))
|
||||||
|
sorted_reports = {k: reports[k] for k in sorted_keys}
|
||||||
|
|
||||||
|
# Generate HTML
|
||||||
|
html_content = TEMPLATE.replace("{ticker}", ticker).replace("{date}", date)
|
||||||
|
html_content = html_content.replace("{json_data}", json.dumps(sorted_reports))
|
||||||
|
|
||||||
|
output_path = path / "index.html"
|
||||||
|
with open(output_path, 'w', encoding='utf-8') as f:
|
||||||
|
f.write(html_content)
|
||||||
|
|
||||||
|
print(f"✅ Generated Dashboard: {output_path}")
|
||||||
|
return str(output_path)
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
if len(sys.argv) < 2:
|
||||||
|
print("Usage: python3 generate_report_html.py <report_dir>")
|
||||||
|
sys.exit(1)
|
||||||
|
|
||||||
|
generate_report(sys.argv[1])
|
||||||
|
|
@ -1,5 +1,15 @@
|
||||||
#!/bin/bash
|
#!/bin/bash
|
||||||
/home/prem/git/antigravity-claude-proxy/startProxy.sh &
|
|
||||||
|
# 0. Check & Start Claude Proxy
|
||||||
|
# Check if port 10909 is open (Proxy running) using pure bash TCP check
|
||||||
|
if ! (echo > /dev/tcp/localhost/10909) 2>/dev/null; then
|
||||||
|
echo "🔌 Starting Claude Proxy..."
|
||||||
|
/home/prem/git/antigravity-claude-proxy/startProxy.sh &
|
||||||
|
# Wait a moment for it to initialize
|
||||||
|
sleep 2
|
||||||
|
else
|
||||||
|
echo "✅ Claude Proxy already running on port 10909"
|
||||||
|
fi
|
||||||
|
|
||||||
./startEmbedding.sh
|
./startEmbedding.sh
|
||||||
|
|
||||||
|
|
@ -19,11 +29,6 @@ if [ -f ".env" ]; then
|
||||||
echo "✅ Loaded keys from .env"
|
echo "✅ Loaded keys from .env"
|
||||||
else
|
else
|
||||||
echo "⚠️ No .env file found. Using default/exported keys."
|
echo "⚠️ No .env file found. Using default/exported keys."
|
||||||
# START: REPLACE WITH YOUR ACTUAL KEYS IF NOT USING .ENV
|
|
||||||
# export OPENAI_API_KEY="sk-your-key-here"
|
|
||||||
# export ALPHA_VANTAGE_API_KEY="your-key-here"
|
|
||||||
# export GOOGLE_API_KEY="your-key-here"
|
|
||||||
# END
|
|
||||||
fi
|
fi
|
||||||
|
|
||||||
# Check if keys are set
|
# Check if keys are set
|
||||||
|
|
@ -35,6 +40,44 @@ if [ -z "$GOOGLE_API_KEY" ]; then
|
||||||
echo "⚠️ GOOGLE_API_KEY is missing! Set it if using Gemini."
|
echo "⚠️ GOOGLE_API_KEY is missing! Set it if using Gemini."
|
||||||
fi
|
fi
|
||||||
|
|
||||||
# 3. Start the Shadow Run (Daily Execution)
|
# Ensure Embedding URL is set (default to local TEI port 11434)
|
||||||
echo "🚀 Starting Shadow Run Daily Execution..."
|
if [ -z "$EMBEDDING_API_URL" ]; then
|
||||||
|
echo "ℹ️ Setting default EMBEDDING_API_URL to http://localhost:11434/v1"
|
||||||
|
export EMBEDDING_API_URL="http://localhost:11434/v1"
|
||||||
|
export EMBEDDING_MODEL="all-MiniLM-L6-v2"
|
||||||
|
fi
|
||||||
|
|
||||||
|
if [ -z "$EMBEDDING_TRUNCATION_LIMIT" ]; then
|
||||||
|
export EMBEDDING_TRUNCATION_LIMIT=1000
|
||||||
|
fi
|
||||||
|
|
||||||
|
# 3. Start the Trading Agents
|
||||||
|
echo "🚀 Starting Trading Agents..."
|
||||||
python3 -m cli.main
|
python3 -m cli.main
|
||||||
|
|
||||||
|
# 4. Open Reports
|
||||||
|
echo "📊 Searching for latest generated reports..."
|
||||||
|
# Find the latest "reports" directory by modification time (most recent last -> tail -1)
|
||||||
|
# Works by printing timestamp (%T@) and path (%p), sorting numerically, picking last, cleaning output
|
||||||
|
LATEST_REPORT_DIR=$(find results -type d -name "reports" -printf '%T@ %p\n' | sort -n | tail -1 | cut -f2- -d" ")
|
||||||
|
|
||||||
|
if [ -n "$LATEST_REPORT_DIR" ]; then
|
||||||
|
echo "✅ Found reports in: $LATEST_REPORT_DIR"
|
||||||
|
|
||||||
|
# Generate HTML Dashboard
|
||||||
|
echo "🎨 Generating Report Dashboard..."
|
||||||
|
python3 scripts/generate_report_html.py "$LATEST_REPORT_DIR"
|
||||||
|
|
||||||
|
REPORT_HTML="$LATEST_REPORT_DIR/index.html"
|
||||||
|
|
||||||
|
# Check if xdg-open exists (Linux)
|
||||||
|
if [ -f "$REPORT_HTML" ] && command -v xdg-open &> /dev/null; then
|
||||||
|
echo "🌐 Opening dashboard in browser..."
|
||||||
|
xdg-open "$REPORT_HTML" &> /dev/null &
|
||||||
|
else
|
||||||
|
echo "ℹ️ Dashboard generated at:"
|
||||||
|
echo " file://$(pwd)/$REPORT_HTML"
|
||||||
|
fi
|
||||||
|
else
|
||||||
|
echo "⚠️ No reports found to open."
|
||||||
|
fi
|
||||||
|
|
|
||||||
|
|
@ -0,0 +1,25 @@
|
||||||
|
|
||||||
|
from tradingagents.dataflows.alpha_vantage_news import get_global_market_news
|
||||||
|
from datetime import datetime, timedelta
|
||||||
|
import os
|
||||||
|
|
||||||
|
# Ensure env vars are loaded (assuming they are set in the shell running this)
|
||||||
|
if not os.getenv("ALPHA_VANTAGE_API_KEY"):
|
||||||
|
print("WARNING: ALPHA_VANTAGE_API_KEY not set")
|
||||||
|
|
||||||
|
try:
|
||||||
|
print("Testing get_global_market_news...")
|
||||||
|
curr_date = datetime.now().strftime("%Y-%m-%d")
|
||||||
|
print(f"Current Date: {curr_date}")
|
||||||
|
|
||||||
|
result = get_global_market_news(curr_date=curr_date, look_back_days=7, limit=5)
|
||||||
|
|
||||||
|
print("Success!")
|
||||||
|
print(f"Result type: {type(result)}")
|
||||||
|
if isinstance(result, str):
|
||||||
|
print(f"Result preview: {result[:200]}...")
|
||||||
|
else:
|
||||||
|
print(f"Result keys: {result.keys() if isinstance(result, dict) else 'Not a dict'}")
|
||||||
|
|
||||||
|
except Exception as e:
|
||||||
|
print(f"FAILED: {e}")
|
||||||
|
|
@ -54,12 +54,17 @@ class FinancialSituationMemory:
|
||||||
masked_key = self.client.api_key[:4] + "..."
|
masked_key = self.client.api_key[:4] + "..."
|
||||||
# print(f"DEBUG: Using API Key: {masked_key}")
|
# print(f"DEBUG: Using API Key: {masked_key}")
|
||||||
|
|
||||||
# Truncate text if too long (Google's limit is ~2048 tokens / 8k chars, allow buffer)
|
# Truncate text if too long
|
||||||
# OpenAI text-embedding-3 is 8191 tokens (~32k chars)
|
# Configurable via EMBEDDING_TRUNCATION_LIMIT (default 1000 for local models)
|
||||||
# Use safe limit of 9000 chars
|
# Set to -1 or 0 to disable truncation.
|
||||||
if len(text) > 9000:
|
try:
|
||||||
# print(f"WARNING: Truncating text for embedding. Length {len(text)} > 9000")
|
truncation_limit = int(os.getenv("EMBEDDING_TRUNCATION_LIMIT", "1000"))
|
||||||
text = text[:9000]
|
except ValueError:
|
||||||
|
truncation_limit = 1000
|
||||||
|
|
||||||
|
if truncation_limit > 0 and len(text) > truncation_limit:
|
||||||
|
# print(f"WARNING: Truncating text for embedding. Length {len(text)} > {truncation_limit}")
|
||||||
|
text = text[:truncation_limit]
|
||||||
|
|
||||||
response = self.client.embeddings.create(
|
response = self.client.embeddings.create(
|
||||||
model=self.embedding, input=text
|
model=self.embedding, input=text
|
||||||
|
|
|
||||||
|
|
@ -2,4 +2,4 @@
|
||||||
from .alpha_vantage_stock import get_stock
|
from .alpha_vantage_stock import get_stock
|
||||||
from .alpha_vantage_indicator import get_indicator
|
from .alpha_vantage_indicator import get_indicator
|
||||||
from .alpha_vantage_fundamentals import get_fundamentals, get_balance_sheet, get_cashflow, get_income_statement
|
from .alpha_vantage_fundamentals import get_fundamentals, get_balance_sheet, get_cashflow, get_income_statement
|
||||||
from .alpha_vantage_news import get_news, get_insider_transactions
|
from .alpha_vantage_news import get_news, get_insider_transactions, get_global_market_news
|
||||||
|
|
@ -1,3 +1,4 @@
|
||||||
|
from datetime import datetime, timedelta
|
||||||
from .alpha_vantage_common import _make_api_request, format_datetime_for_api
|
from .alpha_vantage_common import _make_api_request, format_datetime_for_api
|
||||||
|
|
||||||
def get_news(ticker, start_date, end_date) -> dict[str, str] | str:
|
def get_news(ticker, start_date, end_date) -> dict[str, str] | str:
|
||||||
|
|
@ -24,6 +25,35 @@ def get_news(ticker, start_date, end_date) -> dict[str, str] | str:
|
||||||
|
|
||||||
return _make_api_request("NEWS_SENTIMENT", params)
|
return _make_api_request("NEWS_SENTIMENT", params)
|
||||||
|
|
||||||
|
def get_global_market_news(curr_date, look_back_days=7, limit=50) -> dict[str, str] | str:
|
||||||
|
"""Returns general global market news (macro economy, financial markets).
|
||||||
|
|
||||||
|
Args:
|
||||||
|
curr_date: Current date as string (YYYY-MM-DD) or datetime object.
|
||||||
|
look_back_days: Number of days to look back.
|
||||||
|
limit: Number of articles to return.
|
||||||
|
|
||||||
|
Returns:
|
||||||
|
Dictionary containing news sentiment data or JSON string.
|
||||||
|
"""
|
||||||
|
# Calculate start date
|
||||||
|
if isinstance(curr_date, str):
|
||||||
|
end_dt = datetime.strptime(curr_date, "%Y-%m-%d")
|
||||||
|
else:
|
||||||
|
end_dt = curr_date
|
||||||
|
|
||||||
|
start_dt = end_dt - timedelta(days=look_back_days)
|
||||||
|
|
||||||
|
params = {
|
||||||
|
"topics": "economy_macro,financial_markets",
|
||||||
|
"time_from": format_datetime_for_api(start_dt),
|
||||||
|
"time_to": format_datetime_for_api(end_dt),
|
||||||
|
"sort": "LATEST",
|
||||||
|
"limit": str(limit),
|
||||||
|
}
|
||||||
|
|
||||||
|
return _make_api_request("NEWS_SENTIMENT", params)
|
||||||
|
|
||||||
def get_insider_transactions(symbol: str) -> dict[str, str] | str:
|
def get_insider_transactions(symbol: str) -> dict[str, str] | str:
|
||||||
"""Returns latest and historical insider transactions by key stakeholders.
|
"""Returns latest and historical insider transactions by key stakeholders.
|
||||||
|
|
||||||
|
|
|
||||||
|
|
@ -13,7 +13,8 @@ from .alpha_vantage import (
|
||||||
get_cashflow as get_alpha_vantage_cashflow,
|
get_cashflow as get_alpha_vantage_cashflow,
|
||||||
get_income_statement as get_alpha_vantage_income_statement,
|
get_income_statement as get_alpha_vantage_income_statement,
|
||||||
get_insider_transactions as get_alpha_vantage_insider_transactions,
|
get_insider_transactions as get_alpha_vantage_insider_transactions,
|
||||||
get_news as get_alpha_vantage_news
|
get_news as get_alpha_vantage_news,
|
||||||
|
get_global_market_news as get_alpha_vantage_global_news
|
||||||
)
|
)
|
||||||
from .alpha_vantage_common import AlphaVantageRateLimitError
|
from .alpha_vantage_common import AlphaVantageRateLimitError
|
||||||
from .alpaca import get_stock_data as get_stock_alpaca
|
from .alpaca import get_stock_data as get_stock_alpaca
|
||||||
|
|
@ -107,6 +108,7 @@ VENDOR_METHODS = {
|
||||||
"local": [get_finnhub_news, get_reddit_company_news, get_google_news],
|
"local": [get_finnhub_news, get_reddit_company_news, get_google_news],
|
||||||
},
|
},
|
||||||
"get_global_news": {
|
"get_global_news": {
|
||||||
|
"alpha_vantage": get_alpha_vantage_global_news,
|
||||||
"openai": get_global_news_openai,
|
"openai": get_global_news_openai,
|
||||||
"local": get_reddit_global_news
|
"local": get_reddit_global_news
|
||||||
},
|
},
|
||||||
|
|
@ -172,6 +174,7 @@ def route_to_vendor(method: str, *args, **kwargs):
|
||||||
vendor_attempt_count = 0
|
vendor_attempt_count = 0
|
||||||
any_primary_vendor_attempted = False
|
any_primary_vendor_attempted = False
|
||||||
successful_vendor = None
|
successful_vendor = None
|
||||||
|
errors = []
|
||||||
|
|
||||||
for vendor in fallback_vendors:
|
for vendor in fallback_vendors:
|
||||||
if vendor not in VENDOR_METHODS[method]:
|
if vendor not in VENDOR_METHODS[method]:
|
||||||
|
|
@ -208,14 +211,17 @@ def route_to_vendor(method: str, *args, **kwargs):
|
||||||
print(f"SUCCESS: {impl_func.__name__} from vendor '{vendor_name}' completed successfully")
|
print(f"SUCCESS: {impl_func.__name__} from vendor '{vendor_name}' completed successfully")
|
||||||
|
|
||||||
except AlphaVantageRateLimitError as e:
|
except AlphaVantageRateLimitError as e:
|
||||||
|
msg = f"RATE_LIMIT: Alpha Vantage rate limit exceeded: {e}"
|
||||||
if vendor == "alpha_vantage":
|
if vendor == "alpha_vantage":
|
||||||
print(f"RATE_LIMIT: Alpha Vantage rate limit exceeded, falling back to next available vendor")
|
print(msg)
|
||||||
print(f"DEBUG: Rate limit details: {e}")
|
errors.append(msg)
|
||||||
# Continue to next vendor for fallback
|
# Continue to next vendor for fallback
|
||||||
continue
|
continue
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
# Log error but continue with other implementations
|
# Log error but continue with other implementations
|
||||||
print(f"FAILED: {impl_func.__name__} from vendor '{vendor_name}' failed: {e}")
|
msg = f"FAILED: {impl_func.__name__} from vendor '{vendor_name}' failed: {e}"
|
||||||
|
print(msg)
|
||||||
|
errors.append(msg)
|
||||||
continue
|
continue
|
||||||
|
|
||||||
# Add this vendor's results
|
# Add this vendor's results
|
||||||
|
|
@ -235,8 +241,9 @@ def route_to_vendor(method: str, *args, **kwargs):
|
||||||
|
|
||||||
# Final result summary
|
# Final result summary
|
||||||
if not results:
|
if not results:
|
||||||
print(f"FAILURE: All {vendor_attempt_count} vendor attempts failed for method '{method}'")
|
error_details = "; ".join(errors)
|
||||||
raise RuntimeError(f"All vendor implementations failed for method '{method}'")
|
print(f"FAILURE: All {vendor_attempt_count} vendor attempts failed for method '{method}'. Errors: {error_details}")
|
||||||
|
raise RuntimeError(f"All vendor implementations failed for method '{method}'. Details: {error_details}")
|
||||||
else:
|
else:
|
||||||
print(f"FINAL: Method '{method}' completed with {len(results)} result(s) from {vendor_attempt_count} vendor attempt(s)")
|
print(f"FINAL: Method '{method}' completed with {len(results)} result(s) from {vendor_attempt_count} vendor attempt(s)")
|
||||||
|
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue