87 lines
1.9 KiB
Python
87 lines
1.9 KiB
Python
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from pydantic import BaseModel
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class ContactDataBuyerSeller(BaseModel):
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username: str
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name: str
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feedback_score: int
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trade_count: str
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last_online: str
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class ContactDataAd(BaseModel):
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payment_method: str
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trade_type: str
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advertiser: ContactDataBuyerSeller
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asset: str
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id: str
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class ContactData(BaseModel):
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buyer: ContactDataBuyerSeller
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seller: ContactDataBuyerSeller
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amount: str
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amount_xmr: str
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fee_xmr: str
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advertisement: ContactDataAd
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contact_id: str
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currency: str
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country: str
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account_info: str
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price_equation: str
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is_buying: bool
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is_selling: bool
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created_at: str
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escrowed_at: str
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funded_at: str
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canceled_at: str | None
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closed_at: str | None
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msg: str
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released_at: str | None
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payment_completed_at: str | None
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disputed_at: str | None
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arbitrated: bool
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transfer_to_seller_non_custodial_wallet_transaction_confirmations: str | None
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transfer_to_buyer_settlement_wallet_transaction_id: str | None
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transfer_to_buyer_settlement_wallet_transaction_key: str | None
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buyer_settlement_address: str | None
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buyer_settlement_fee_level: str | None
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seller_non_custodial_wallet_mnemonic: str | None
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transfer_to_seller_non_custodial_wallet_transaction_id: str | None
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class ContactActions(BaseModel):
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advertisement_public_view: str
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advertisement_url: str
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message_post_url: str
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messages_url: str
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release_url: str
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class Contact(BaseModel):
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data: ContactData
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actions: ContactActions
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class ResponseData(BaseModel):
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contact_count: int
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contact_list: list[Contact]
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class Response(BaseModel):
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data: ResponseData
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class Dashboard(BaseModel):
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success: bool
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message: str
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response: Response
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DashboardSchema = {
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"success": "success",
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"message": "message",
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"contact_count": "response.data.contact_count",
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"contact_list": "response.data.contact_list",
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}
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