[2ff88f42] feat(GTM-Engine): Implement Dual Opener Strategy & Harden Analysis

Completed the GTM engine setup:\n\n- Implemented 'Dual Opener' generation (Primary/Secondary) in ClassificationService.\n- Migrated DB to support two opener fields.\n- Updated API and Frontend to handle and display both openers.\n- Fixed bug creating duplicate website_scrape entries.\n- Hardened metric extraction by improving the LLM prompt and adding content length checks.

company-explorer/backend/database.py

@@ -150,7 +150,7 @@ class Industry(Base):
     created_at = Column(DateTime, default=datetime.utcnow)
 
 
-class JobRoleMapping(BaseModel):
+class JobRoleMapping(Base):
     """
     Maps job title patterns (regex or simple string) to Roles.
     """
@@ -162,7 +162,7 @@ class JobRoleMapping(BaseModel):
     
     created_at = Column(DateTime, default=datetime.utcnow)
 
-class RawJobTitle(BaseModel):
+class RawJobTitle(Base):
     """
     Stores raw unique job titles imported from CRM to assist in pattern mining.
     Tracks frequency to prioritize high-impact patterns.
@@ -180,7 +180,7 @@ class RawJobTitle(BaseModel):
     created_at = Column(DateTime, default=datetime.utcnow)
     updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
 
-class Persona(BaseModel):
+class Persona(Base):
     """
     Represents a generalized persona/role (e.g. 'Geschäftsführer', 'IT-Leiter')
     independent of the specific job title pattern.