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TradingAgents
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This commit is contained in:
MarkLo 2025-11-26 17:14:54 +08:00
parent 2e2b4db5da
commit 4acfd69fb5
1 changed files with 20 additions and 5 deletions
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25
backend/app/services/pdf_generator.py
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@ -64,12 +64,13 @@ class PDFGenerator:
# Register Chinese font as fallback for CJK characters # Register Chinese font as fallback for CJK characters
if not self.custom_font: if not self.custom_font:
try: try:
# Register Chinese font (Traditional Chinese support) # CRITICAL FIX: Use Helvetica instead of STSong-Light to avoid font mapping issues
pdfmetrics.registerFont(UnicodeCIDFont('STSong-Light')) # STSong-Light may have character mapping bugs causing '練' to render as '煉'
self.chinese_font = 'STSong-Light' self.chinese_font = 'Helvetica'
print("Registered STSong-Light as fallback (Warning: May not be visible in all viewers)") print("Using Helvetica for Chinese characters (may have better Unicode support)")
except Exception as e: except Exception as e:
# If CID font registration fails, try alternative method print(f"Error setting Chinese font: {e}")
# If setting Helvetica fails (unlikely), try alternative CID fonts
try: try:
pdfmetrics.registerFont(UnicodeCIDFont('STHeiti-Light')) pdfmetrics.registerFont(UnicodeCIDFont('STHeiti-Light'))
self.chinese_font = 'STHeiti-Light' self.chinese_font = 'STHeiti-Light'
@ -185,8 +186,22 @@ class PDFGenerator:
# Convert markdown to simple text (basic conversion) # Convert markdown to simple text (basic conversion)
# Clean markdown formatting # Clean markdown formatting
# DEBUG: Log content before PDF conversion
print(f"\n[PDF DEBUG] Content BEFORE _clean_markdown:")
if '煉' in report_content:
print(f" ⚠️ Found '煉' in original content")
if '練' in report_content:
print(f" ✅ Found '練' in original content")
content = self._clean_markdown(report_content) content = self._clean_markdown(report_content)
# DEBUG: Log content after cleaning
print(f"[PDF DEBUG] Content AFTER _clean_markdown:")
if '煉' in content:
print(f" ⚠️ Found '煉' AFTER cleaning")
if '練' in content:
print(f" ✅ Found '練' AFTER cleaning")
# Split content into paragraphs # Split content into paragraphs
paragraphs = content.split('\n') paragraphs = content.split('\n')