This commit is contained in:
MarkLo 2025-11-26 19:43:52 +08:00
parent dcadb3c339
commit 96b90b01da
2 changed files with 161 additions and 41 deletions

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@ -21,42 +21,144 @@ import markdown
class PDFGenerator:
"""Generate PDF reports from markdown content"""
# Emoji to Unicode symbol mapping for PDF compatibility
# Emojis don't render well in PDFs, so we replace them with Unicode text symbols
# NOTE: Use ASCII brackets [] not full-width for better font compatibility
EMOJI_TO_UNICODE = {
# Status & Indicators
'': '',
'': '',
'⚠️': '',
'': '',
'🔔': '',
# Rating & Quality
'': '',
'🌟': '',
'💎': '',
'🏆': '',
# Charts & Analytics
'📊': '[圖表]',
'📈': '',
'📉': '',
'📋': '[清單]',
'📌': '',
# Money & Business
'💰': '$',
'💵': '$',
'💴': '¥',
'💶': '',
'💷': '£',
'💸': '[支出]', # Fixed: was [支出] (full-width brackets)
'💹': '[增長]',
# Direction & Movement
'🚀': '↑↑',
'⬆️': '',
'⬇️': '',
'➡️': '',
'⬅️': '',
'🔼': '',
'🔽': '',
# Symbols
'🎯': '',
'🔥': '',
'💡': '',
'🔔': '',
'⚙️': '',
'🔧': '[工具]',
'🔨': '[工具]',
# AI & Tech
'🤖': '[AI]',
'💻': '[電腦]',
'📱': '[手機]',
'🖥️': '[系統]',
# People & Roles
'👤': '[用戶]',
'👥': '[團隊]',
'🔬': '[研究]',
'📚': '[資料]',
# Time
'': '[時間]',
'📅': '[日期]',
'⏱️': '[計時]',
# Other common emojis
'': '',
'🎨': '[設計]',
'📝': '[筆記]',
'📄': '[文件]',
'🗂️': '[資料夾]',
'🌐': '[網路]',
'🔗': '[連結]',
'💼': '[業務]',
}
"""Generate PDF reports from markdown content"""
def __init__(self):
"""Initialize PDF generator with Chinese font support"""
import os
from reportlab.pdfbase.cidfonts import UnicodeCIDFont
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts import TTFont
# Initialize font variables
self.custom_font = None
self.chinese_font = None
# Ensure we have the absolute path to the current file
current_file = os.path.abspath(__file__)
# backend/app/services/pdf_generator.py -> backend/app/services -> backend/app -> backend -> root
# CRITICAL FIX: Use system fonts for maximum compatibility
# Arial Unicode MS supports: Chinese, English, Math symbols, Emoji
# This avoids font file loading issues with ReportLab
# CRITICAL FIX: Use ReportLab's built-in CID fonts for proper character spacing
# CID fonts (Adobe-GB1, Adobe-CNS1) are specifically designed for PDF rendering
# and don't have the character spacing issues that TTC files have
try:
# Try to use Arial Unicode MS (best for all characters)
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts import TTFont
# macOS system font path
arial_unicode_path = '/System/Library/Fonts/Supplemental/Arial Unicode.ttf'
if os.path.exists(arial_unicode_path):
pdfmetrics.registerFont(TTFont('ArialUnicode', arial_unicode_path))
self.custom_font = 'ArialUnicode'
self.chinese_font = 'ArialUnicode'
print(f"✅ Successfully registered Arial Unicode MS (supports Chinese, English, Math, Emoji)")
else:
# Fallback: Use built-in Helvetica (limited Chinese support)
# Method 1: Try using built-in CID fonts (best for Chinese PDFs)
# These fonts have PERFECT character spacing without gaps
try:
# Try STSong-Light (for Traditional + Simplified Chinese)
pdfmetrics.registerFont(UnicodeCIDFont('STSong-Light'))
self.custom_font = 'STSong-Light'
self.chinese_font = 'STSong-Light'
print(f"✅ Using STSong-Light CID font - Perfect Chinese character spacing")
except:
# Fallback to MSung-Light (Traditional Chinese)
try:
pdfmetrics.registerFont(UnicodeCIDFont('MSung-Light'))
self.custom_font = 'MSung-Light'
self.chinese_font = 'MSung-Light'
print(f"✅ Using MSung-Light CID font - Perfect Traditional Chinese spacing")
except:
# Last CID font attempt: STSongStd-Light
try:
pdfmetrics.registerFont(UnicodeCIDFont('STSongStd-Light'))
self.custom_font = 'STSongStd-Light'
self.chinese_font = 'STSongStd-Light'
print(f"✅ Using STSongStd-Light CID font")
except:
raise Exception("No CID fonts available")
except:
# Method 2: Fallback to TTF fonts if CID fonts fail
print("⚠️ CID fonts not available, trying TTF fonts...")
try:
# Try Arial Unicode MS (TTF file, not TTC)
arial_unicode_path = '/System/Library/Fonts/Supplemental/Arial Unicode.ttf'
if os.path.exists(arial_unicode_path):
pdfmetrics.registerFont(TTFont('ArialUnicode', arial_unicode_path))
self.custom_font = 'ArialUnicode'
self.chinese_font = 'ArialUnicode'
print(f"✅ Using Arial Unicode MS (TTF) - Good Chinese support")
else:
raise Exception("Arial Unicode not found")
except Exception as e:
# Final fallback: Use built-in Helvetica
print(f"❌ Font registration failed: {e}")
print(f"⚠️ Using Helvetica (limited Chinese character support)")
self.custom_font = 'Helvetica'
self.chinese_font = 'Helvetica'
print(f"⚠️ Using Helvetica (limited Chinese character support)")
except Exception as e:
print(f"❌ Font registration error: {e}")
self.custom_font = 'Helvetica'
self.chinese_font = 'Helvetica'
# Set primary font
self.primary_font = self.custom_font if self.custom_font else self.chinese_font
@ -156,24 +258,13 @@ class PDFGenerator:
elements.append(Paragraph(metadata, subtitle_style))
elements.append(Spacer(1, 0.5*cm))
# Convert markdown to simple text (basic conversion)
# Clean markdown formatting
# DEBUG: Log content before PDF conversion
print(f"\n[PDF DEBUG] Content BEFORE _clean_markdown:")
if '' in report_content:
print(f" ⚠️ Found '' in original content")
if '' in report_content:
print(f" ✅ Found '' in original content")
# STEP 1: Replace emojis with Unicode symbols BEFORE markdown cleaning
report_content = self._replace_emojis(report_content)
analyst_name = self._replace_emojis(analyst_name)
# STEP 2: Clean markdown formatting
content = self._clean_markdown(report_content)
# DEBUG: Log content after cleaning
print(f"[PDF DEBUG] Content AFTER _clean_markdown:")
if '' in content:
print(f" ⚠️ Found '' AFTER cleaning")
if '' in content:
print(f" ✅ Found '' AFTER cleaning")
# Split content into paragraphs
paragraphs = content.split('\n')
@ -294,3 +385,26 @@ class PDFGenerator:
text = text.replace(old, new)
return text
def _replace_emojis(self, text: str) -> str:
"""
Replace emoji characters with Unicode text symbols for PDF compatibility
Emojis don't render well in PDFs, especially with CID fonts.
This method replaces common emojis with Unicode text symbols that
display reliably across all PDF viewers.
Args:
text: Text containing potential emoji characters
Returns:
Text with emojis replaced by Unicode symbols
"""
if not text:
return text
# Replace each emoji with its Unicode symbol equivalent
for emoji, unicode_symbol in self.EMOJI_TO_UNICODE.items():
text = text.replace(emoji, unicode_symbol)
return text

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@ -97,13 +97,19 @@ class TradingAgentsXGraph:
def _create_llm(model: str, base_url: str, api_key: str):
# Determine provider based on Base URL
if "anthropic.com" in base_url:
return ChatAnthropic(model=model, base_url=base_url, api_key=api_key)
return ChatAnthropic(
model=model,
base_url=base_url,
api_key=api_key,
max_tokens=16000 # Prevent report truncation
)
else:
# Default to ChatOpenAI for OpenAI, Grok, DeepSeek, Qwen, and other OpenAI-compatible APIs
return ChatOpenAI(
model=model,
base_url=base_url,
openai_api_key=api_key
openai_api_key=api_key,
max_tokens=16000 # Prevent report truncation
)
# Initialize LLMs independently