46 lines
1.6 KiB
Python
46 lines
1.6 KiB
Python
def dt_to_date(datetime):
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return datetime.date()
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def mangrove_by_country_latest_schema(data):
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return {
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"country_with_parent": str(data["country_with_parent"]),
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"original_pixels": int(data["original_pixels"]),
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"total_n_pixels": int(data["total_n_pixels"]),
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"cumulative_pixels_diff": int(data["cumulative_pixels_diff"]),
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"cumulative_pct_diff": float(data["cumulative_pct_diff"]),
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}
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def mangrove_by_country_agg_schema(data):
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return {
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"country_with_parent": str(data["country_with_parent"]),
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"year": int(data["year"]),
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"total_pixels": int(data["total_pixels"])
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}
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def bitcoin_business_growth_percent_diff_schema(data):
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return {
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"country_name": str(data["country_name"]),
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"first_value": int(data["first_value"]),
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"date_range": str(f'{dt_to_date(data["first_date"])} to {dt_to_date(data["last_date"])}'),
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"last_value": int(data["last_value"]),
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"difference": int(data["difference"]),
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"percent_difference": str(data["percent_difference"])
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}
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def bitcoin_business_growth_timeseries_schema(data):
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return {
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"country_name": str(data["country_name"]),
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"date": dt_to_date(data["date"]),
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"cumulative_value": int(data["cumulative_value"])
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}
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class DataSerializer:
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def __init__(self, schema_func):
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self.schema_func = schema_func
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def serialize_one(self, data) -> dict:
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return self.schema_func(data)
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def serialize_many(self, data_list) -> list:
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return [self.serialize_one(data) for data in data_list]
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