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# This file was auto-generated by Fern from our API Definition. | ||
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from .types import EmailLog, EmailLogId, EmailLogResponse | ||
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__all__ = ["EmailLog", "EmailLogId", "EmailLogResponse"] |
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# This file was auto-generated by Fern from our API Definition. | ||
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from .email_log import EmailLog | ||
from .email_log_id import EmailLogId | ||
from .email_log_response import EmailLogResponse | ||
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__all__ = ["EmailLog", "EmailLogId", "EmailLogResponse"] |
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# This file was auto-generated by Fern from our API Definition. | ||
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import datetime as dt | ||
import typing | ||
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from ...core.datetime_utils import serialize_datetime | ||
from ...core.pydantic_utilities import pydantic_v1 | ||
from ...invoice_types.types.invoice_id import InvoiceId | ||
from .email_log_id import EmailLogId | ||
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class EmailLog(pydantic_v1.BaseModel): | ||
""" | ||
Examples | ||
-------- | ||
import datetime | ||
from mercoa import EmailLog | ||
EmailLog( | ||
id="1234", | ||
subject="Invoice #1234", | ||
from_="John Doe <john.doe@example.com>", | ||
to="Jane Doe <jane.doe@example.com>", | ||
html_body="<html><body><p>Hi Jane,</p><p>Please find attached the invoice for your recent purchase.</p><p>Thanks,</p><p>John</p></body></html>", | ||
text_body="Hi Jane,\n\nPlease find attached the invoice for your recent purchase.\n\nThanks,\nJohn", | ||
created_at=datetime.datetime.fromisoformat( | ||
"2021-01-01 00:00:00+00:00", | ||
), | ||
) | ||
""" | ||
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id: EmailLogId | ||
subject: str | ||
from_: str = pydantic_v1.Field(alias="from") | ||
to: str | ||
html_body: str = pydantic_v1.Field(alias="htmlBody") | ||
text_body: str = pydantic_v1.Field(alias="textBody") | ||
created_at: dt.datetime = pydantic_v1.Field(alias="createdAt") | ||
invoice_id: typing.Optional[InvoiceId] = pydantic_v1.Field(alias="invoiceId", default=None) | ||
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def json(self, **kwargs: typing.Any) -> str: | ||
kwargs_with_defaults: typing.Any = {"by_alias": True, "exclude_unset": True, **kwargs} | ||
return super().json(**kwargs_with_defaults) | ||
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def dict(self, **kwargs: typing.Any) -> typing.Dict[str, typing.Any]: | ||
kwargs_with_defaults: typing.Any = {"by_alias": True, "exclude_unset": True, **kwargs} | ||
return super().dict(**kwargs_with_defaults) | ||
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class Config: | ||
frozen = True | ||
smart_union = True | ||
allow_population_by_field_name = True | ||
populate_by_name = True | ||
extra = pydantic_v1.Extra.allow | ||
json_encoders = {dt.datetime: serialize_datetime} |
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# This file was auto-generated by Fern from our API Definition. | ||
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EmailLogId = str |
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# This file was auto-generated by Fern from our API Definition. | ||
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import datetime as dt | ||
import typing | ||
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from ...core.datetime_utils import serialize_datetime | ||
from ...core.pydantic_utilities import pydantic_v1 | ||
from .email_log import EmailLog | ||
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class EmailLogResponse(pydantic_v1.BaseModel): | ||
""" | ||
Examples | ||
-------- | ||
import datetime | ||
from mercoa import EmailLog, EmailLogResponse | ||
EmailLogResponse( | ||
count=1, | ||
has_more=False, | ||
data=[ | ||
EmailLog( | ||
id="1234", | ||
subject="Invoice #1234", | ||
from_="John Doe <john.doe@example.com>", | ||
to="Jane Doe <jane.doe@example.com>", | ||
html_body="<html><body><p>Hi Jane,</p><p>Please find attached the invoice for your recent purchase.</p><p>Thanks,</p><p>John</p></body></html>", | ||
text_body="Hi Jane,\n\nPlease find attached the invoice for your recent purchase.\n\nThanks,\nJohn", | ||
created_at=datetime.datetime.fromisoformat( | ||
"2021-01-01 00:00:00+00:00", | ||
), | ||
) | ||
], | ||
) | ||
""" | ||
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count: int = pydantic_v1.Field() | ||
""" | ||
Total number of logs for the given filters. This value is not limited by the limit parameter. It is provided so that you can determine how many pages of results are available. | ||
""" | ||
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has_more: bool = pydantic_v1.Field(alias="hasMore") | ||
""" | ||
True if there are more logs available for the given filters. | ||
""" | ||
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data: typing.List[EmailLog] | ||
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def json(self, **kwargs: typing.Any) -> str: | ||
kwargs_with_defaults: typing.Any = {"by_alias": True, "exclude_unset": True, **kwargs} | ||
return super().json(**kwargs_with_defaults) | ||
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def dict(self, **kwargs: typing.Any) -> typing.Dict[str, typing.Any]: | ||
kwargs_with_defaults: typing.Any = {"by_alias": True, "exclude_unset": True, **kwargs} | ||
return super().dict(**kwargs_with_defaults) | ||
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class Config: | ||
frozen = True | ||
smart_union = True | ||
allow_population_by_field_name = True | ||
populate_by_name = True | ||
extra = pydantic_v1.Extra.allow | ||
json_encoders = {dt.datetime: serialize_datetime} |
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