108 lines
3.4 KiB
Python
108 lines
3.4 KiB
Python
import logging
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from datetime import datetime
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from typing import Any
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from django.db import models
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logger: logging.Logger = logging.getLogger(__name__)
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def wrong_typename(data: dict, expected: str) -> bool:
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"""Check if the data is the expected type.
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# TODO(TheLovinator): Double check this. # noqa: TD003
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Type name examples:
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- Game
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- DropCampaign
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- TimeBasedDrop
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- DropBenefit
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- RewardCampaign
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- Reward
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Args:
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data (dict): The data to check.
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expected (str): The expected type.
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Returns:
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bool: True if the data is not the expected type.
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"""
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is_unexpected_type: bool = data.get("__typename", "") != expected
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if is_unexpected_type:
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logger.error("Not a %s? %s", expected, data)
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return is_unexpected_type
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def update_field(instance: models.Model, django_field_name: str, new_value: str | datetime | None) -> int:
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"""Update a field on an instance if the new value is different from the current value.
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Args:
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instance (models.Model): The Django model instance.
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django_field_name (str): The name of the field to update.
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new_value (str | datetime | None): The new value to update the field with.
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Returns:
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int: If the field was updated, returns 1. Otherwise, returns 0.
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"""
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# Get the current value of the field.
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try:
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current_value = getattr(instance, django_field_name)
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except AttributeError:
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logger.exception("Field %s does not exist on %s", django_field_name, instance)
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return 0
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# Only update the field if the new value is different from the current value.
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if new_value and new_value != current_value:
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setattr(instance, django_field_name, new_value)
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return 1
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# 0 fields updated.
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return 0
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def get_value(data: dict, key: str) -> datetime | str | None:
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"""Get a value from a dictionary.
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We have this function so we can handle values that we need to convert to a different type. For example, we might
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need to convert a string to a datetime object.
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Args:
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data (dict): The dictionary to get the value from.
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key (str): The key to get the value for.
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Returns:
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datetime | str | None: The value from the dictionary
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"""
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data_key: Any | None = data.get(key)
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if not data_key:
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return None
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# Dates are in the format "2024-08-12T05:59:59.999Z"
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dates: list[str] = ["endAt", "endsAt,", "startAt", "startsAt", "createdAt", "earnableUntil"]
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if key in dates:
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return datetime.fromisoformat(data_key.replace("Z", "+00:00"))
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return data_key
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def update_fields(instance: models.Model, data: dict, field_mapping: dict[str, str]) -> int:
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"""Update multiple fields on an instance using a mapping from external field names to model field names.
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Args:
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instance (models.Model): The Django model instance.
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data (dict): The new data to update the fields with.
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field_mapping (dict[str, str]): A dictionary mapping external field names to model field names.
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Returns:
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int: The number of fields updated. Used for only saving the instance if there were changes.
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"""
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dirty = 0
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for json_field, django_field_name in field_mapping.items():
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data_key: datetime | str | None = get_value(data, json_field)
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dirty += update_field(instance=instance, django_field_name=django_field_name, new_value=data_key)
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if dirty > 0:
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instance.save()
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return dirty
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