core/apps/documents/services/cbu_rates.py

@@ -1,33 +0,0 @@
-from datetime import date
-
-import requests
-
-CBU_URL = "https://cbu.uz/oz/arkhiv-kursov-valyut/json/{code}/{date}/"
-TIMEOUT_SECONDS = 5
-CURRENCY_CODES = ("USD", "EUR", "RUB")
-
-
-def fetch_rates(target_date):
-    """CBU.uz dan berilgan sanaga oid USD, EUR, RUB kurslarini olish.
-
-    Tarmoq xatosi yoki notogri javob bolsa bosh dict qaytadi.
-    """
-    if target_date is None:
-        target_date = date.today()
-    date_str = target_date.strftime("%Y-%m-%d")
-    rates = {}
-    for code in CURRENCY_CODES:
-        try:
-            resp = requests.get(
-                CBU_URL.format(code=code, date=date_str),
-                timeout=TIMEOUT_SECONDS,
-            )
-            resp.raise_for_status()
-            data = resp.json()
-            if isinstance(data, list) and data:
-                rate_value = data[0].get("Rate")
-                if rate_value:
-                    rates[code] = rate_value
-        except (requests.RequestException, ValueError):
-            continue
-    return rates

core/apps/documents/views/contract.py

@@ -12,7 +12,7 @@ from weasyprint import HTML
 from core.apps.evaluation.models import AutoEvaluationModel
 from core.apps.evaluation.choices.auto import ObjectOwnerType
 from core.apps.documents.serializers.contract import ContractPDFRequestSerializer
-from core.apps.documents.services.cbu_rates import fetch_rates
+from core.services import CurrencyService
 
 
 UZ_MONTHS = {
@@ -301,8 +301,8 @@ class ValuationReportPDFView(APIView):
             "tech_passport": tech_passport_value,
             "fuel_type": fuel_type_value,
             "engine_power": "",
-            "full_weight": "",
-            "empty_weight": "",
+            "full_weight": auto.full_weight if auto.full_weight is not None else "",
+            "empty_weight": auto.empty_weight if auto.empty_weight is not None else "",
         }
 
     def _customer_context(self, user):
@@ -365,7 +365,7 @@ class ValuationReportPDFView(APIView):
         }
 
     def _rates_context(self, target_date):
-        rates = fetch_rates(target_date)
+        rates = CurrencyService.get_rates(target_date)
         return {
             "rur": rates.get("RUB", ""),
             "usd": rates.get("USD", ""),

core/apps/evaluation/migrations/0047_auto_full_empty_weight.py

@@ -0,0 +1,31 @@
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ("evaluation", "0046_mechanicauto_fields_and_multi_tex_passport"),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name="autoevaluationmodel",
+            name="full_weight",
+            field=models.PositiveIntegerField(blank=True, null=True, verbose_name="full weight"),
+        ),
+        migrations.AddField(
+            model_name="autoevaluationmodel",
+            name="empty_weight",
+            field=models.PositiveIntegerField(blank=True, null=True, verbose_name="empty weight"),
+        ),
+        migrations.AddField(
+            model_name="mechanicautoevaluationmodel",
+            name="full_weight",
+            field=models.PositiveIntegerField(blank=True, null=True, verbose_name="full weight"),
+        ),
+        migrations.AddField(
+            model_name="mechanicautoevaluationmodel",
+            name="empty_weight",
+            field=models.PositiveIntegerField(blank=True, null=True, verbose_name="empty weight"),
+        ),
+    ]

core/apps/evaluation/models/auto.py

@@ -260,6 +260,16 @@ class AutoEvaluationModel(AbstractBaseModel):
         blank=True,
         null=True,
     )
+    full_weight = models.PositiveIntegerField(
+        verbose_name=_("full weight"),
+        blank=True,
+        null=True,
+    )
+    empty_weight = models.PositiveIntegerField(
+        verbose_name=_("empty weight"),
+        blank=True,
+        null=True,
+    )
 
     # ── Natija ───────────────────────────────────────────────────────
     rating_goal = models.CharField(

core/apps/evaluation/models/mechanic_auto.py

@@ -256,6 +256,16 @@ class MechanicAutoEvaluationModel(AbstractBaseModel):
         blank=True,
         null=True,
     )
+    full_weight = models.PositiveIntegerField(
+        verbose_name=_("full weight"),
+        blank=True,
+        null=True,
+    )
+    empty_weight = models.PositiveIntegerField(
+        verbose_name=_("empty weight"),
+        blank=True,
+        null=True,
+    )
 
     # ── Natija ───────────────────────────────────────────────────────
     rating_goal = models.CharField(

core/apps/evaluation/serializers/auto/AutoEvaluation.py

@@ -73,6 +73,8 @@ class BaseAutoevaluationSerializer(serializers.ModelSerializer):
             "car_number",
             "manufacture_year",
             "car_color",
+            "full_weight",
+            "empty_weight",
             "distance_covered",
             "car_position",
             "body_type",
@@ -214,6 +216,8 @@ class UpdateAutoevaluationSerializer(serializers.ModelSerializer):
             "manufacture_year",
             "car_dvigatel_number",
             "car_color",
+            "full_weight",
+            "empty_weight",
             "distance_covered",
             "car_position",
             "body_type",
@@ -361,6 +365,8 @@ class CreateAutoevaluationSerializer(serializers.ModelSerializer):
             "manufacture_year",
             "car_dvigatel_number",
             "car_color",
+            "full_weight",
+            "empty_weight",
             "distance_covered",
             "car_position",
             "body_type",
@@ -493,6 +499,8 @@ class AutoEvaluationModelSerializer(serializers.ModelSerializer):
             "manufacture_year",
             "car_dvigatel_number",
             "car_color",
+            "full_weight",
+            "empty_weight",
             "distance_covered",
             "car_position",
             "body_type",

core/apps/evaluation/serializers/auto/MechanicAutoEvaluation.py

@@ -73,6 +73,8 @@ class BaseMechanicAutoevaluationSerializer(serializers.ModelSerializer):
             "car_number",
             "manufacture_year",
             "car_color",
+            "full_weight",
+            "empty_weight",
             "distance_covered",
             "car_position",
             "body_type",
@@ -213,6 +215,8 @@ class UpdateMechanicAutoevaluationSerializer(serializers.ModelSerializer):
             "manufacture_year",
             "car_dvigatel_number",
             "car_color",
+            "full_weight",
+            "empty_weight",
             "distance_covered",
             "car_position",
             "body_type",
@@ -363,6 +367,8 @@ class CreateMechanicAutoevaluationSerializer(serializers.ModelSerializer):
             "manufacture_year",
             "car_dvigatel_number",
             "car_color",
+            "full_weight",
+            "empty_weight",
             "distance_covered",
             "car_position",
             "body_type",
@@ -480,6 +486,8 @@ class MechanicAutoEvaluationModelSerializer(serializers.ModelSerializer):
             "manufacture_year",
             "car_dvigatel_number",
             "car_color",
+            "full_weight",
+            "empty_weight",
             "distance_covered",
             "car_position",
             "body_type",

core/services/__init__.py

@@ -2,4 +2,5 @@ from .otp import *  # noqa
 from .sms import *  # noqa
 from .user import *  # noqa
 from .didox import *  # noqa
-from .tech_passport import *  # noqa
+from .tech_passport import *  # noqa
+from .currency import *  # noqa

core/services/currency.py

@@ -0,0 +1,33 @@
+from datetime import date
+
+import requests
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+class CurrencyService:
+    BASE_URL = "https://cbu.uz/oz/arkhiv-kursov-valyut/json"
+    CODES = ("USD", "EUR", "RUB")
+    TIMEOUT_SECONDS = 5
+
+    @classmethod
+    def get_rates(cls, target_date=None) -> dict:
+        if target_date is None:
+            target_date = date.today()
+        date_str = target_date.strftime("%Y-%m-%d")
+
+        rates = {}
+        for code in cls.CODES:
+            url = f"{cls.BASE_URL}/{code}/{date_str}/"
+            try:
+                response = requests.get(url, timeout=cls.TIMEOUT_SECONDS)
+                response.raise_for_status()
+                payload = response.json()
+                if isinstance(payload, list) and payload:
+                    rate_value = payload[0].get("Rate")
+                    if rate_value:
+                        rates[code] = rate_value
+            except (requests.RequestException, ValueError) as e:
+                logger.exception(f"CBU API error for {code}: {e}")
+        return rates

task.txt

@@ -1,41 +1,17 @@
-object_type => Bu hozirda select. O’shanga value qo’shish kerak: bus, moto
-
-
-
-car_position => Qo’shish kerak. Bu hozirda select. /api/v1/reference-item/ api’dan value yuboraman
-
-
-
-distance_covered => Qo’shish kerak. Number. Bosib o’tilgan masofasi
-
-
-
-body_type => Qo’shish kerak. Bu hozirda select. /api/v1/reference-item/ api’dan value yuboraman
-
-
-
-fuel_type => Qo’shish kerak. Bu hozirda select. /api/v1/reference-item/ api’dan value yuboraman
-
-
-
-state_car => Qo’shish kerak. Bu hozirda select. /api/v1/reference-item/ api’dan value yuboraman
-
-
-
-car_type => manashu field ni olib tashlash kerak
-
-
-
-tex_passport_file => multiple qilish kerak
-
-
-
-assessment_task_type => Baholash vazifasi. Qo’shish kerak. Select bo’ladi. /api/v1/reference-item/ api’dan value yuboraman
-
-
-
-object_owner_residence => Obyekt egasi yashash joyi. Qo’shish kerak. string bo’ladi.
-
-
-
-manashu fieldlarni detail apidagi serializerga qoshish kerak auto-evaluationda ham va mechnic-auto-evaluationda ham
+#Done 1. Valyutalarni kursini olish uchun API topib, malumotlarni pdfga yozish kerak
+2. Foydalanuvchi ma'lumotlarni jshir orqali Didox apidan olib uni saqlab, keyin pdfga yozish kerak
+3. Bajaruvchi ma'lumotlarni qoshish, tahrishlash uchun model yozishimiz kerak, va uni pdfga yozish kerak
+4. Son korinishidan yozuv korinishiga o'tkazadigan funksiya yozish kerak, misol uchun 30 000 000 => "o'ttiz million"
+5. Transport ma'lumotlarni tex passport orqali API dan olib uni saqlab, keyin pdfga yozish kerak
+6. Obyektning textnik xolatini serializer orqali tanlaydigan qilish kerak va html filedagi yozilgan tabledagi malumotlarga quyidagicha ozgartirish kerak:
+    Har bir agregat bo'yicha ko'rik ro'yxati: 
+    - Shinalar ko'rigi: tanlangan xolat
+    - Dvigatel ishlashini ko'rik: tanlangan xolat
+    - Yurish qismining ko'rigi: tanlangan xolat
+    - Transmissiya ko'rigi: tanlangan xolat
+    - Kuzov ko'rigi: tanlangan xolat
+7. Baholanishi kerak bolgan mashinaning yangisini malumotlarni kerak. Shuning uchun yangi model ochib, kerakli malumotlarni toldiradigan qilish kerak
+8. Eskirish koeffitsiyentlarini belgilash yani qanchadan qanchagacha necha foiz olishini yozish uchun model kerak
+9. Solishtirma tahlil jadvali uchun analoglarni olib kelish kerak uzxariddan
+10. Solishtirma tahlil jadvali uchun analoglar topilmasa, analoglarni qolda qoshadigan qilish kerak, keyin analoglar bilan birga rasmlar ham yuklay olishi kerak
+11. QR code generate qilib pdfning har bir sahifasining ong tomon pastki qismiga joylashtirish kerak va https://{domain}/q/auto-basic/:id manashu urlga redirect qilishi kerak