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fix: Aktualizacja pozostałych odniesień do Gemini 3

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- zopk_knowledge_service.py: model dla kategoryzacji milestone'ów
- database.py: przykłady modeli w komentarzach kolumn

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Maciej Pienczyn 2026-01-29 14:21:00 +01:00
parent 23493f0b61
commit bc58d31c4d
2 changed files with 5 additions and 5 deletions
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8
database.py
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@ -1906,7 +1906,7 @@ class ZOPKNews(Base):
ai_relevance_score = Column(Integer) # 1-5 stars: 1=weak match, 5=perfect match ai_relevance_score = Column(Integer) # 1-5 stars: 1=weak match, 5=perfect match
ai_evaluation_reason = Column(Text) # AI's explanation of relevance decision ai_evaluation_reason = Column(Text) # AI's explanation of relevance decision
ai_evaluated_at = Column(DateTime) # When AI evaluation was performed ai_evaluated_at = Column(DateTime) # When AI evaluation was performed
ai_model = Column(String(100)) # Which AI model was used (e.g., gemini-2.0-flash) ai_model = Column(String(100)) # Which AI model was used (e.g., gemini-3-flash-preview)
# Moderation workflow # Moderation workflow
status = Column(String(20), default='pending', index=True) # pending, approved, rejected, auto_approved status = Column(String(20), default='pending', index=True) # pending, approved, rejected, auto_approved
@ -2128,7 +2128,7 @@ class ZOPKKnowledgeChunk(Base):
verified_at = Column(DateTime) verified_at = Column(DateTime)
# Processing metadata # Processing metadata
extraction_model = Column(String(100)) # gemini-2.0-flash, gpt-4, etc. extraction_model = Column(String(100)) # gemini-3-flash-preview, gpt-4, etc.
extracted_at = Column(DateTime, default=datetime.now) extracted_at = Column(DateTime, default=datetime.now)
created_at = Column(DateTime, default=datetime.now) created_at = Column(DateTime, default=datetime.now)
@ -2350,7 +2350,7 @@ class ZOPKKnowledgeExtractionJob(Base):
news_id = Column(Integer, ForeignKey('zopk_news.id'), nullable=False, index=True) news_id = Column(Integer, ForeignKey('zopk_news.id'), nullable=False, index=True)
# Configuration # Configuration
extraction_model = Column(String(100)) # gemini-2.0-flash extraction_model = Column(String(100)) # gemini-3-flash-preview
chunk_size = Column(Integer, default=800) # Target tokens per chunk chunk_size = Column(Integer, default=800) # Target tokens per chunk
chunk_overlap = Column(Integer, default=100) # Overlap tokens chunk_overlap = Column(Integer, default=100) # Overlap tokens
@ -2399,7 +2399,7 @@ class AIUsageLog(Base):
# Request info # Request info
request_type = Column(String(50), nullable=False) # chat, news_evaluation, user_creation, image_analysis request_type = Column(String(50), nullable=False) # chat, news_evaluation, user_creation, image_analysis
model = Column(String(100), nullable=False) # gemini-2.0-flash, gemini-1.5-pro, etc. model = Column(String(100), nullable=False) # gemini-3-flash-preview, gemini-3-pro-preview, etc.
# Token counts # Token counts
tokens_input = Column(Integer, default=0) tokens_input = Column(Integer, default=0)

2
zopk_knowledge_service.py
View File

@ -2648,7 +2648,7 @@ def create_milestone_from_suggestion(
def categorize_milestones_with_ai( def categorize_milestones_with_ai(
db_session, db_session,
suggestions: List[Dict], suggestions: List[Dict],
model_name: str = "gemini-2.0-flash-exp" model_name: str = "gemini-3-flash-preview"
) -> List[Dict]: ) -> List[Dict]:
""" """
Use Gemini AI to categorize and enhance milestone suggestions. Use Gemini AI to categorize and enhance milestone suggestions.