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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

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Venezuelanalysis

@venanalysis · Post #2053 · 05.08.2025 г., 21:14

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📝 INTERVIEW | Seeds, GMOs and Sovereignty: A Conversation with Esquisa Omaña Venezuelan researcher and activist Esquisa Omaña takes stock of the country's Seed Law and the struggle for food sovereignty. Approved in 2015, the Seed Law bans the sowing of GMOs and uniquely recognizes two knowledge systems: certified seeds and those developed by campesino, Indigenous, and Afro-descendant communities. But a decade later, Omaña warns that the law remains largely unimplemented. The biosecurity commission never took off, and the GMO detection lab remains unopened. As GMO imports continue and local varieties face contamination risks, the law’s vision, to protect agro-biodiversity and campesino knowledge, hangs in the balance. 🔗 Read the full interview here: https://shorturl.at/eGGWP #FoodSovereignty#GMO#SeedLaw

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Venezuelanalysis

@venanalysis · Post #2369 · 17.05.2026 г., 17:06

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🗒️🗣️ INTERVIEW | Liccia Romero: ‘We Need a Policy to Fund Agroecology’ Biologist and organizer Liccia Romero discusses the achievements and challenges of agroecology in Venezuela, drawing from the experience of the Mano a Mano Agroecological Market in Mérida. In the interview, Romero discusses how producers adapted to the pandemic, the blockade, fuel shortages, and changing consumption patterns. She also explains the importance of open-pollinated seeds, crop diversification, participatory agroecological certification, and Venezuela’s 2015 Seed Law. “We need a funding policy for agroecological initiatives,” Romero says, arguing that agroecology is often limited to small-scale production because it lacks large-scale support. Read the full interview 👉https://venezuelanalysis.com/interviews/liccia-romero-we-need-a-policy-to-fund-agroecology #Agroecology#FoodSovereignty#PopularEconomy#SeedLaw

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#agroecology #foodsovereignty #populareconomy #seedlaw