TGINSIGHT SIMILAR POSTS
Изворен канал @pythonotes · Post #397 · 12 ное.
Использование Pydantic сегодня стало нормой, и это правильно. Но иногда на ревью вижу, что используют его не всегда корректно. Например, метод BaseModel.model_dump() по умолчанию не преобразует стандартные типы, такие как datetime, UUID или Decimal, в простой сериализуемый для JSON вид. Тогда пишут кастмоный сериализатор для этих типов чтобы функция json.dump() не падала с ошибкой. import uuid from datetime import datetime from decimal import Decimal from uuid import UUID from pydantic import BaseModel class MyModel(BaseModel): id: UUID date: datetime value: Decimal obj = MyModel( id=uuid.uuid4(), date=datetime.now(), value='1.23' ) print(obj.model_dump()) # не подходит для json.dump # { # 'id': UUID('4f8c1bc4-25fd-40cd-9dbe-2c73639b0dc1'), # 'date': datetime.datetime(2025, 12, 12, 12, 12, 12, 111111), # 'value': Decimal('1.23') # } # добавляем свой кастомный сериализатор json.dumps(obj.model_dump(), cls=MySerializer) # { # 'id': '4f8c1bc4-25fd-40cd-9dbe-2c73639b0dc1', # 'date': '2025-12-12T12:12:12.111111', # 'value': '1.23' # } В данном случае класс MySerializer обрабатывает datetime, UUID и Decimal. Например так: class MySerializer(json.JSONEncoder): def default(self, o): if isinstance(o, Decimal): return str(o) elif isinstance(o, datetime): return o.isoformat() elif isinstance(o, UUID): return str(o) return super().default(o) Специально для тех, кто всё еще так делает - в этом нет необходимости! Pydantic может это сделать сам, просто нужно добавить параметр mode="json". json.dumps(obj.model_dump(mode="json")) # { # 'id': '4f8c1bc4-25fd-40cd-9dbe-2c73639b0dc1', # 'date': '2012-12-12T12:12:12.111111', # 'value': '1.23' # } #pydantic#libs
Пребарај: #microbiology
@interesting_planet_facts · Post #423 · 26.07.2025 г., 03:22
🌎 In the world’s caves, “moonmilk” forms as a creamy white mineral paste, oozing from rock walls. Created by bacteria that slowly dissolve limestone, moonmilk has been used for centuries as folk medicine by local cultures. ✨ #geology⚡#microbiology⚡#caves 👉subscribe Interesting Planet
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@amazingeo · Post #469 · 22.11.2025 г., 12:31
🌍 Some karst caves contain rare bacteria that feed on mineral rock, creating colorful biofilms and even helping form new cave crystals—making the underground world alive in ways few people expect. ✨ #caves⚡#karst⚡#microbiology⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels
@amazingeo · Post #578 · 15.01.2026 г., 20:31
🌍 Some polar lakes never see sunlight and stay covered with ice year-round. Microbes living under this ice survive in complete darkness, making them some of the most isolated life forms on Earth. ✨ #glaciers⚡#polar⚡#microbiology⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels
@interesting_planet_facts · Post #466 · 30.07.2025 г., 13:22
🌎 In the dry canyons of the American Southwest, cryptobiotic soil forms a living crust of bacteria, fungi, and lichens. This fragile layer stabilizes desert soil and helps seeds germinate, supporting entire ecosystems in these harsh climates. ✨ #desert⚡#microbiology⚡#ecosystems 👉subscribe Interesting Planet
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@venturevillagewall · Post #4210 · 21.02.2025 г., 16:00
Latest Funding Rounds in Tech & Agri Funding highlights: - Johnvents Industries: $40.5M - Indigenous agribusiness in Africa. Read more - Valencia Technologies: $35M - Focused on tech innovations. Read more - Certn: $30M - Efficient background screening solutions. Read more - EG 427: $28.17M - DNA medicines for chronic diseases. Read more - Methuselah: $27.46M - Medical technology advancements. Read more - Spore.bio: $23M - Innovations in microbiology. Read more - Avandra Imaging: $17.75M - Imaging technology developments. Read more - Nuveen Green Capital: $15M - Sustainable real estate financing. Read more - METYCLE: $14.71M - Supplier access and product sales. Read more - fileAI: $14M - AI file automation solutions. Read more #Funding#Agribusiness#Tech#Sustainable#BackgroundCheck#Healthcare#MedicalTech#Microbiology#RealEstate#AI