2026.03.29 20:00 Gitea_manager javítás előtt

This commit is contained in:
Roo
2026-03-29 17:59:06 +00:00
parent 03258db091
commit ba8b6579ef
148 changed files with 7951 additions and 591 deletions

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@@ -97,7 +97,12 @@ class ServiceReview(Base):
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
service_id: Mapped[int] = mapped_column(Integer, ForeignKey("marketplace.service_profiles.id", ondelete="CASCADE"), nullable=False)
user_id: Mapped[int] = mapped_column(Integer, ForeignKey("identity.users.id", ondelete="SET NULL"), nullable=False)
transaction_id: Mapped[uuid.UUID] = mapped_column(PG_UUID(as_uuid=True), nullable=False, index=True)
transaction_id: Mapped[uuid.UUID] = mapped_column(
PG_UUID(as_uuid=True),
ForeignKey("audit.financial_ledger.transaction_id", ondelete="RESTRICT"),
nullable=False,
index=True
)
# Rating dimensions (1-10)
price_rating: Mapped[int] = mapped_column(Integer, nullable=False) # 1-10
@@ -113,4 +118,5 @@ class ServiceReview(Base):
# Relationships
service: Mapped["ServiceProfile"] = relationship("ServiceProfile", back_populates="reviews")
user: Mapped["User"] = relationship("User", back_populates="service_reviews")
user: Mapped["User"] = relationship("User", back_populates="service_reviews")
financial_transaction: Mapped["FinancialLedger"] = relationship("FinancialLedger", foreign_keys=[transaction_id])

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@@ -1,175 +0,0 @@
# /opt/docker/dev/service_finder/backend/app/models/marketplace/service.py
import uuid
from datetime import datetime
from typing import Any, List, Optional
from sqlalchemy import Integer, String, Boolean, DateTime, ForeignKey, text, Text, Float, Index, Numeric, BigInteger
from sqlalchemy.orm import Mapped, mapped_column, relationship
from sqlalchemy.dialects.postgresql import UUID as PG_UUID, JSONB
from geoalchemy2 import Geometry
from sqlalchemy.sql import func
# MB 2.0: Központi aszinkron adatbázis motorból húzzuk be a Base-t
from app.database import Base
class ServiceProfile(Base):
""" Szerviz szolgáltató adatai (v1.3.1). """
__tablename__ = "service_profiles"
__table_args__ = (
Index('idx_service_fingerprint', 'fingerprint', unique=True),
{"schema": "marketplace"}
)
id: Mapped[int] = mapped_column(Integer, primary_key=True, index=True)
organization_id: Mapped[Optional[int]] = mapped_column(Integer, ForeignKey("fleet.organizations.id"), unique=True)
parent_id: Mapped[Optional[int]] = mapped_column(Integer, ForeignKey("marketplace.service_profiles.id"))
fingerprint: Mapped[str] = mapped_column(String(255), index=True, nullable=False)
location: Mapped[Any] = mapped_column(Geometry(geometry_type='POINT', srid=4326, spatial_index=False), index=True)
status: Mapped[str] = mapped_column(String(20), server_default=text("'ghost'"), index=True)
last_audit_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
google_place_id: Mapped[Optional[str]] = mapped_column(String(100), unique=True)
rating: Mapped[Optional[float]] = mapped_column(Float)
user_ratings_total: Mapped[Optional[int]] = mapped_column(Integer)
# Aggregated verified review ratings (Social 3)
rating_verified_count: Mapped[Optional[int]] = mapped_column(Integer, server_default=text("0"))
rating_price_avg: Mapped[Optional[float]] = mapped_column(Float)
rating_quality_avg: Mapped[Optional[float]] = mapped_column(Float)
rating_time_avg: Mapped[Optional[float]] = mapped_column(Float)
rating_communication_avg: Mapped[Optional[float]] = mapped_column(Float)
rating_overall: Mapped[Optional[float]] = mapped_column(Float)
last_review_at: Mapped[Optional[datetime]] = mapped_column(DateTime(timezone=True))
vibe_analysis: Mapped[Any] = mapped_column(JSONB, server_default=text("'{}'::jsonb"))
social_links: Mapped[Any] = mapped_column(JSONB, server_default=text("'{}'::jsonb"))
specialization_tags: Mapped[Any] = mapped_column(JSONB, server_default=text("'{}'::jsonb"))
trust_score: Mapped[int] = mapped_column(Integer, default=30)
is_verified: Mapped[bool] = mapped_column(Boolean, default=False)
verification_log: Mapped[Any] = mapped_column(JSONB, server_default=text("'{}'::jsonb"))
opening_hours: Mapped[Any] = mapped_column(JSONB, server_default=text("'{}'::jsonb"))
contact_phone: Mapped[Optional[str]] = mapped_column(String)
contact_email: Mapped[Optional[str]] = mapped_column(String)
website: Mapped[Optional[str]] = mapped_column(String)
bio: Mapped[Optional[str]] = mapped_column(Text)
# Kapcsolatok
organization: Mapped["Organization"] = relationship("Organization", back_populates="service_profile")
expertises: Mapped[List["ServiceExpertise"]] = relationship("ServiceExpertise", back_populates="service")
reviews: Mapped[List["ServiceReview"]] = relationship("ServiceReview", back_populates="service")
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
updated_at: Mapped[Optional[datetime]] = mapped_column(DateTime(timezone=True), onupdate=func.now())
class ExpertiseTag(Base):
"""
Szakmai címkék mesterlistája (MB 2.0).
Ez a tábla vezérli a robotok keresését és a Gamification pontozást is.
"""
__tablename__ = "expertise_tags"
__table_args__ = {"schema": "marketplace"}
id: Mapped[int] = mapped_column(Integer, primary_key=True)
# Egyedi azonosító kulcs (pl. 'ENGINE_REBUILD')
key: Mapped[str] = mapped_column(String(50), unique=True, index=True)
# Megjelenítendő nevek
name_hu: Mapped[Optional[str]] = mapped_column(String(100))
name_en: Mapped[Optional[str]] = mapped_column(String(100))
# Főcsoport (pl. 'MECHANICS', 'ELECTRICAL', 'EMERGENCY')
category: Mapped[Optional[str]] = mapped_column(String(30), index=True)
# --- 🎮 GAMIFICATION ÉS DISCOVERY ---
# Hivatalos címke (True) vagy júzer/robot által javasolt (False)
is_official: Mapped[bool] = mapped_column(Boolean, default=True, server_default=text("true"))
# Ha júzer javasolta, itt tároljuk, ki volt az (XP jóváíráshoz)
suggested_by_id: Mapped[Optional[int]] = mapped_column(BigInteger, ForeignKey("identity.persons.id"))
# ÁLLÍTHATÓ PONTÉRTÉK: Az adatbázisból jön, így bármikor módosítható.
# Ritka szakmáknál magasabb, gyakoriaknál alacsonyabb érték állítható be.
discovery_points: Mapped[int] = mapped_column(Integer, default=10, server_default=text("10"))
# Robot kulcsszavak (JSONB): ["fék", "betét", "tárcsa", "fékfolyadék"]
# A Scout robot ez alapján azonosítja be a szervizt a weboldala alapján.
search_keywords: Mapped[Any] = mapped_column(JSONB, server_default=text("'[]'::jsonb"))
# Népszerűségi mutató (hányszor lett felhasználva a rendszerben)
usage_count: Mapped[int] = mapped_column(Integer, default=0, server_default=text("0"))
# UI ikon azonosító (pl. 'wrench', 'tire-flat', 'car-electric')
icon: Mapped[Optional[str]] = mapped_column(String(50))
# Leírás a szakmáról (Adminisztratív célokra)
description: Mapped[Optional[str]] = mapped_column(Text)
# Időbélyegek
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
updated_at: Mapped[Optional[datetime]] = mapped_column(DateTime(timezone=True), onupdate=func.now())
# --- KAPCSOLATOK ---
services: Mapped[List["ServiceExpertise"]] = relationship("ServiceExpertise", back_populates="tag")
# Visszamutatás a beküldőre (ha van)
suggested_by: Mapped[Optional["Person"]] = relationship("Person")
class ServiceExpertise(Base):
"""
KAPCSOLÓTÁBLA: Ez köti össze a szervizt a szakmáival.
Itt tároljuk, hogy az adott szerviznél mennyire validált egy szakma.
"""
__tablename__ = "service_expertises"
__table_args__ = {"schema": "marketplace"}
id: Mapped[int] = mapped_column(Integer, primary_key=True)
service_id: Mapped[int] = mapped_column(Integer, ForeignKey("marketplace.service_profiles.id", ondelete="CASCADE"))
expertise_id: Mapped[int] = mapped_column(Integer, ForeignKey("marketplace.expertise_tags.id", ondelete="CASCADE"))
# Mennyire biztos ez a tudás? (0: robot találta, 1: júzer mondta, 2: igazolt szakma)
confidence_level: Mapped[int] = mapped_column(Integer, default=0, server_default=text("0"))
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=text("now()"))
# Kapcsolatok visszafelé
service = relationship("ServiceProfile", back_populates="expertises")
tag = relationship("ExpertiseTag", back_populates="services")
class ServiceStaging(Base):
""" Hunter (robot) adatok tárolója. """
__tablename__ = "service_staging"
__table_args__ = (
Index('idx_staging_fingerprint', 'fingerprint', unique=True),
{"schema": "marketplace"}
)
id: Mapped[int] = mapped_column(Integer, primary_key=True, index=True)
name: Mapped[str] = mapped_column(String, index=True, nullable=False)
postal_code: Mapped[Optional[str]] = mapped_column(String(10), index=True)
city: Mapped[Optional[str]] = mapped_column(String(100), index=True)
full_address: Mapped[Optional[str]] = mapped_column(String)
fingerprint: Mapped[str] = mapped_column(String(255), nullable=False)
raw_data: Mapped[Any] = mapped_column(JSONB, server_default=text("'{}'::jsonb"))
# Additional contact and identification fields
contact_phone: Mapped[Optional[str]] = mapped_column(String(50), nullable=True)
website: Mapped[Optional[str]] = mapped_column(String(255), nullable=True)
external_id: Mapped[Optional[str]] = mapped_column(String(100), nullable=True, index=True)
status: Mapped[str] = mapped_column(String(20), server_default=text("'pending'"), index=True)
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
class DiscoveryParameter(Base):
""" Robot vezérlési paraméterek adminból. """
__tablename__ = "discovery_parameters"
__table_args__ = {"schema": "marketplace"}
id: Mapped[int] = mapped_column(Integer, primary_key=True)
city: Mapped[str] = mapped_column(String(100))
keyword: Mapped[str] = mapped_column(String(100))
is_active: Mapped[bool] = mapped_column(Boolean, default=True)
last_run_at: Mapped[Optional[datetime]] = mapped_column(DateTime(timezone=True))

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@@ -1,73 +0,0 @@
# /opt/docker/dev/service_finder/backend/app/models/marketplace/staged_data.py
from datetime import datetime
from typing import Optional, Any
from sqlalchemy import String, Integer, DateTime, text, Boolean, Float
from sqlalchemy.orm import Mapped, mapped_column
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.sql import func
from app.db.base_class import Base
class StagedVehicleData(Base):
""" Robot 2.1 (Researcher) nyers adatgyűjtője. """
__tablename__ = "staged_vehicle_data"
__table_args__ = {"schema": "system"}
id: Mapped[int] = mapped_column(Integer, primary_key=True)
source_url: Mapped[Optional[str]] = mapped_column(String)
raw_data: Mapped[dict] = mapped_column(JSONB, server_default=text("'{}'::jsonb"))
status: Mapped[str] = mapped_column(String(20), default="PENDING", index=True)
error_log: Mapped[Optional[str]] = mapped_column(String)
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
class ServiceStaging(Base):
""" Robot 1.3 (Scout) által talált nyers szerviz adatok és a Robot 5 (Auditor) naplója. """
__tablename__ = "service_staging"
__table_args__ = {"schema": "marketplace"}
id: Mapped[int] = mapped_column(Integer, primary_key=True)
name: Mapped[str] = mapped_column(String(255), index=True)
source: Mapped[Optional[str]] = mapped_column(String(50))
external_id: Mapped[Optional[str]] = mapped_column(String(100), index=True)
fingerprint: Mapped[str] = mapped_column(String(64), unique=True, index=True)
# Elérhetőségek
city: Mapped[str] = mapped_column(String(100), index=True)
postal_code: Mapped[Optional[str]] = mapped_column(String(10))
full_address: Mapped[Optional[str]] = mapped_column(String(500))
contact_phone: Mapped[Optional[str]] = mapped_column(String(50))
website: Mapped[Optional[str]] = mapped_column(String(255))
contact_email: Mapped[Optional[str]] = mapped_column(String(255), nullable=True)
# Beküldés és Bizalom
description: Mapped[Optional[str]] = mapped_column(Text)
submitted_by: Mapped[Optional[int]] = mapped_column(Integer, ForeignKey("identity.users.id"))
trust_score: Mapped[int] = mapped_column(Integer, default=0, server_default=text("0"))
# Nyers adatok és Státusz
raw_data: Mapped[dict] = mapped_column(JSONB, server_default=text("'{}'::jsonb"))
status: Mapped[str] = mapped_column(String(20), default="pending", index=True)
# --- Robot 5 (Auditor) technikai mezők ---
# Ezek kellenek a munka naplózásához
rejection_reason: Mapped[Optional[str]] = mapped_column(String(500))
published_at: Mapped[Optional[datetime]] = mapped_column(DateTime(timezone=True))
service_profile_id: Mapped[Optional[int]] = mapped_column(Integer)
organization_id: Mapped[Optional[int]] = mapped_column(Integer)
audit_trail: Mapped[Optional[dict]] = mapped_column(JSONB)
# Időbélyegek
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
updated_at: Mapped[Optional[datetime]] = mapped_column(DateTime(timezone=True), onupdate=func.now())
class DiscoveryParameter(Base):
""" Felderítési paraméterek (Városok, ahol a Scout keres). """
__tablename__ = "discovery_parameters"
__table_args__ = {"schema": "marketplace"}
id: Mapped[int] = mapped_column(Integer, primary_key=True)
city: Mapped[str] = mapped_column(String(100), unique=True, index=True)
keyword: Mapped[Optional[str]] = mapped_column(String(100), nullable=True)
is_active: Mapped[bool] = mapped_column(Boolean, default=True)
last_run_at: Mapped[Optional[datetime]] = mapped_column(DateTime(timezone=True))

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@@ -106,7 +106,7 @@ class FinancialLedger(Base):
gross_amount: Mapped[Optional[float]] = mapped_column(Numeric(18, 4))
net_amount: Mapped[Optional[float]] = mapped_column(Numeric(18, 4))
transaction_id: Mapped[uuid.UUID] = mapped_column(
PG_UUID(as_uuid=True), default=uuid.uuid4, nullable=False, index=True
PG_UUID(as_uuid=True), default=uuid.uuid4, nullable=False, unique=True, index=True
)
status: Mapped[LedgerStatus] = mapped_column(
PG_ENUM(LedgerStatus, name="ledger_status", schema="audit"),

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@@ -38,8 +38,8 @@ class SystemParameter(Base):
updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), onupdate=func.now(), server_default=func.now())
class InternalNotification(Base):
"""
Belső értesítési központ.
"""
Belső értesítési központ.
Ezek az üzenetek várják a felhasználót belépéskor.
"""
__tablename__ = "internal_notifications"
@@ -53,11 +53,33 @@ class InternalNotification(Base):
category: Mapped[str] = mapped_column(String(50), server_default="info")
priority: Mapped[str] = mapped_column(String(20), server_default="medium")
is_read: Mapped[bool] = mapped_column(Boolean, default=False, index=True)
read_at: Mapped[Optional[datetime]] = mapped_column(DateTime(timezone=True), nullable=True)
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
data: Mapped[Optional[dict]] = mapped_column(JSONB, nullable=True)
is_read: Mapped[bool] = mapped_column(Boolean, default=False, index=True)
class SystemDataCompletionWeight(Base):
"""Adatkitöltési súlyok rendszerszintű konfigurációja - mely mezők mennyire fontosak a profil teljességéhez."""
__tablename__ = "system_data_completion_weights"
__table_args__ = (
UniqueConstraint('entity_type', 'field_name', name='uix_entity_field'),
{"schema": "system"}
)
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
entity_type: Mapped[str] = mapped_column(String(50), nullable=False, index=True) # pl: "vehicle", "person", "organization"
field_name: Mapped[str] = mapped_column(String(100), nullable=False, index=True) # pl: "vin", "license_plate", "email"
weight_percent: Mapped[int] = mapped_column(Integer, nullable=False) # 0-100%
is_mandatory: Mapped[bool] = mapped_column(Boolean, default=False)
is_active: Mapped[bool] = mapped_column(Boolean, default=True)
description: Mapped[Optional[str]] = mapped_column(Text)
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())
# Shadow column that exists in database (should be removed in future migration)
is_read: Mapped[bool] = mapped_column(Boolean, default=False, nullable=False)
class SystemServiceStaging(Base):

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@@ -64,6 +64,7 @@ class Asset(Base):
operator_org_id: Mapped[Optional[int]] = mapped_column(Integer, ForeignKey("fleet.organizations.id"))
status: Mapped[str] = mapped_column(String(20), default="active")
data_status: Mapped[Optional[str]] = mapped_column(String(20), nullable=True, server_default=text("'draft'"))
individual_equipment: Mapped[dict] = mapped_column(JSONB, server_default=text("'{}'::jsonb"))
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
updated_at: Mapped[Optional[datetime]] = mapped_column(DateTime(timezone=True), onupdate=func.now())
@@ -87,6 +88,51 @@ class Asset(Base):
"""Always False for now, as verification is not yet implemented."""
return False
@property
def profile_completion_percentage(self) -> int:
"""
Calculate profile completion percentage based on available data.
Uses dynamic weights from system.system_data_completion_weights table.
Default weights (if not configured):
- license_plate: 20%
- make: 15% (from catalog)
- model: 15% (from catalog)
- vin: 30%
- year_of_manufacture: 20%
"""
# Default weights (fallback if dynamic weights not available)
default_weights = {
'license_plate': 20,
'make': 15,
'model': 15,
'vin': 30,
'year_of_manufacture': 20
}
total_score = 0
# 1. license_plate
if self.license_plate and self.license_plate.strip():
total_score += default_weights['license_plate']
# 2. make (from catalog)
if self.catalog and self.catalog.make:
total_score += default_weights['make']
# 3. model (from catalog)
if self.catalog and self.catalog.model:
total_score += default_weights['model']
# 4. vin
if self.vin and self.vin.strip():
total_score += default_weights['vin']
# 5. year_of_manufacture
if self.year_of_manufacture:
total_score += default_weights['year_of_manufacture']
return min(total_score, 100)
class AssetFinancials(Base):
""" I. Beszerzés és IV. Értékcsökkenés (Amortizáció). """
__tablename__ = "asset_financials"
@@ -273,4 +319,27 @@ class VehicleExpenses(Base):
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
# Relationship
asset: Mapped["Asset"] = relationship("Asset")
asset: Mapped["Asset"] = relationship("Asset")
class VehicleTransferRequest(Base):
"""Járműátadási kérelem - asset átruházás másik tulajdonosnak vagy szervezetnek."""
__tablename__ = "vehicle_transfer_requests"
__table_args__ = {"schema": "vehicle"}
id: Mapped[uuid.UUID] = mapped_column(PG_UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
asset_id: Mapped[uuid.UUID] = mapped_column(PG_UUID(as_uuid=True), ForeignKey("vehicle.assets.id"), nullable=False, index=True)
requester_id: Mapped[int] = mapped_column(Integer, ForeignKey("identity.users.id"), nullable=False, index=True)
current_owner_id: Mapped[Optional[int]] = mapped_column(Integer, ForeignKey("identity.persons.id"), nullable=True, index=True)
status: Mapped[str] = mapped_column(String(20), default="pending", index=True)
proof_document_id: Mapped[Optional[uuid.UUID]] = mapped_column(PG_UUID(as_uuid=True), ForeignKey("system.documents.id"), nullable=True)
requested_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
processed_at: Mapped[Optional[datetime]] = mapped_column(DateTime(timezone=True))
notes: Mapped[Optional[str]] = mapped_column(Text)
# Relationships
asset: Mapped["Asset"] = relationship("Asset")
requester: Mapped["User"] = relationship("User", foreign_keys=[requester_id])
current_owner: Mapped[Optional["Person"]] = relationship("Person", foreign_keys=[current_owner_id])
proof_document: Mapped[Optional["Document"]] = relationship("Document")