106 lines
4.7 KiB
Python
106 lines
4.7 KiB
Python
from sqlalchemy import Column, Integer, String, JSON, UniqueConstraint, text, Boolean, DateTime, ForeignKey, Numeric, Index, Text
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from sqlalchemy.orm import relationship
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from sqlalchemy.sql import func
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from sqlalchemy.dialects.postgresql import JSONB
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from app.db.base_class import Base
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class VehicleType(Base):
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"""Jármű főtípusok sémája (Séma-gazda)"""
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__tablename__ = "vehicle_types"
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__table_args__ = {"schema": "data"}
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id = Column(Integer, primary_key=True)
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code = Column(String(30), unique=True, index=True)
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name = Column(String(50))
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icon = Column(String(50))
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units = Column(JSON, server_default=text("'{\"power\": \"kW\", \"weight\": \"kg\", \"cargo\": \"m3\"}'::jsonb"))
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features = relationship("FeatureDefinition", back_populates="vehicle_type")
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definitions = relationship("VehicleModelDefinition", back_populates="v_type_rel")
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class FeatureDefinition(Base):
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"""Globális felszereltség szótár"""
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__tablename__ = "feature_definitions"
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__table_args__ = {"schema": "data"}
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id = Column(Integer, primary_key=True)
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vehicle_type_id = Column(Integer, ForeignKey("data.vehicle_types.id"))
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category = Column(String(50))
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name = Column(String(100), nullable=False)
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data_type = Column(String(20), default="boolean")
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vehicle_type = relationship("VehicleType", back_populates="features")
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class ModelFeatureMap(Base):
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"""Modell-szintű felszereltségi sablon"""
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__tablename__ = "model_feature_maps"
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__table_args__ = {"schema": "data"}
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model_id = Column(Integer, ForeignKey("data.vehicle_model_definitions.id"), primary_key=True)
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feature_id = Column(Integer, ForeignKey("data.feature_definitions.id"), primary_key=True)
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availability = Column(String(20), default="standard")
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value = Column(String(100))
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class VehicleModelDefinition(Base):
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"""MDM Master rekordok - v1.3.0 Pipeline Edition (Researcher & Alchemist)"""
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__tablename__ = "vehicle_model_definitions"
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__table_args__ = (
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UniqueConstraint('make', 'technical_code', 'vehicle_type', name='uix_make_tech_type'),
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Index('idx_vmd_lookup', 'make', 'technical_code'),
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{"schema": "data"}
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)
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id = Column(Integer, primary_key=True)
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make = Column(String(50), nullable=False, index=True)
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technical_code = Column(String(50), nullable=False, index=True)
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marketing_name = Column(String(100), index=True)
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family_name = Column(String(100))
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vehicle_type = Column(String(30), index=True)
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vehicle_type_id = Column(Integer, ForeignKey("data.vehicle_types.id"))
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vehicle_class = Column(String(50))
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parent_id = Column(Integer, ForeignKey("data.vehicle_model_definitions.id"), nullable=True)
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year_from = Column(Integer, nullable=True, index=True)
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year_to = Column(Integer, nullable=True, index=True)
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synonyms = Column(JSON, server_default=text("'[]'::jsonb"))
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# --- ROBOT VÉDELMI ÉS PIPELINE MEZŐK (v1.3.0) ---
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is_manual = Column(Boolean, default=False, server_default=text("false"), index=True)
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attempts = Column(Integer, default=0, server_default=text("0"), index=True)
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last_error = Column(Text, nullable=True)
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# Robot 2.1 "Researcher" porszívózott nyers adatai (A szemetesláda)
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raw_search_context = Column(Text, nullable=True)
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# Telemetria és forrás adatok (JSONB a hatékonyabb kereséshez)
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research_metadata = Column(JSONB, server_default=text("'{}'::jsonb"), nullable=False)
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# --------------------------------------------------
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# --- TECHNIKAI FIX OSZLOPOK ---
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engine_capacity = Column(Integer, index=True)
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power_kw = Column(Integer, index=True)
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max_weight_kg = Column(Integer, index=True)
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axle_count = Column(Integer)
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payload_capacity_kg = Column(Integer)
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cargo_volume_m3 = Column(Numeric(10, 2))
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cargo_length_mm = Column(Integer)
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cargo_width_mm = Column(Integer)
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cargo_height_mm = Column(Integer)
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specifications = Column(JSON, server_default=text("'{}'::jsonb"))
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features_json = Column(JSON, server_default=text("'{}'::jsonb"))
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# Státusz mező hossza 30-ra növelve az automatikus migrációhoz
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status = Column(String(30), server_default="unverified", index=True)
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is_master = Column(Boolean, default=False)
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source = Column(String(50))
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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updated_at = Column(DateTime(timezone=True), onupdate=func.now())
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# Kapcsolatok
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v_type_rel = relationship("VehicleType", back_populates="definitions")
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master_record = relationship("VehicleModelDefinition", remote_side=[id], backref="merged_variants")
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variants = relationship("AssetCatalog", back_populates="master_definition", primaryjoin="VehicleModelDefinition.id == AssetCatalog.master_definition_id") |