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fix(taps): add argument for nan handling strategy to _flatten_record #2222

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24 changes: 23 additions & 1 deletion singer_sdk/helpers/_flattening.py
Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,7 @@ class FlatteningOptions(t.NamedTuple):
max_level: int
flattening_enabled: bool = True
separator: str = DEFAULT_FLATTENING_SEPARATOR
nan_strategy: t.Literal["fail", "allow"] = "fail"
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We may want to support msgspec for serialization in the near future (#1784), and it defaults to making the values null. Do you think there's a way to make these options future-compatible with msgspec?

https://jcristharif.com/msgspec/supported-types.html#float

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Can you specify a little more details? I am not very familiar with msgspec lib. In simplejson which is currently used there is ignore_nan argument which could be used. I am thinking about adding one more nan_strategy "convert_null" which will set ignore_nan to True. WDYT?

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I am thinking about adding one more nan_strategy "convert_null" which will set ignore_nan to True. WDYT?

@dgawlowsky that makes sense to me!

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@edgarrmondragon
Added this! sorry for the delay!

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Thanks @dgawlowsky! I'll review this soon.

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Hi @edgarrmondragon! Can you share the status of the review? We are using meltano in one of our projects and will be deploying do production soon, hence it will be easier to pull library from official distribution. Thanks in advance!



def get_flattening_options(
Expand Down Expand Up @@ -81,13 +82,15 @@ def flatten_schema(
schema: dict,
max_level: int,
separator: str = "__",
nan_strategy: t.Literal["fail", "allow"] = "fail",
) -> dict:
"""Flatten the provided schema up to a depth of max_level.

Args:
schema: The schema definition to flatten.
separator: The string to use when concatenating key names.
max_level: The max recursion level (zero-based, exclusive).
nan_strategy: Strategy for handling NaNs in json.

Returns:
A flattened version of the provided schema definition.
Expand Down Expand Up @@ -274,6 +277,7 @@ def flatten_schema(
schema_node=new_schema,
max_level=max_level,
separator=separator,
nan_strategy=nan_strategy,
)
return new_schema

Expand All @@ -284,6 +288,7 @@ def _flatten_schema( # noqa: C901, PLR0912
separator: str = "__",
level: int = 0,
max_level: int = 0,
nan_strategy: t.Literal["fail", "allow"] = "fail",
) -> dict:
"""Flatten the provided schema node, recursively up to depth of `max_level`.

Expand All @@ -293,6 +298,7 @@ def _flatten_schema( # noqa: C901, PLR0912
separator: The string to use when concatenating key names.
level: The current recursion level (zero-based).
max_level: The max recursion level (zero-based, exclusive).
nan_strategy: Strategy for handling NaNs in json.

Returns:
A flattened version of the provided node.
Expand All @@ -319,6 +325,7 @@ def _flatten_schema( # noqa: C901, PLR0912
separator=separator,
level=level + 1,
max_level=max_level,
nan_strategy=nan_strategy,
).items(),
)
elif (
Expand Down Expand Up @@ -364,6 +371,7 @@ def flatten_record(
flattened_schema: dict,
max_level: int,
separator: str = "__",
nan_strategy: t.Literal["fail", "allow"] = "fail",
) -> dict:
"""Flatten a record up to max_level.

Expand All @@ -372,6 +380,7 @@ def flatten_record(
flattened_schema: The already flattened schema.
separator: The string used to separate concatenated key names. Defaults to "__".
max_level: The maximum depth of keys to flatten recursively.
nan_strategy: Strategy for handling NaNs in json.

Returns:
A flattened version of the record.
Expand All @@ -381,6 +390,7 @@ def flatten_record(
flattened_schema=flattened_schema,
separator=separator,
max_level=max_level,
nan_strategy=nan_strategy,
)


Expand All @@ -392,6 +402,7 @@ def _flatten_record(
separator: str = "__",
level: int = 0,
max_level: int = 0,
nan_strategy: t.Literal["fail", "allow"] = "fail",
) -> dict:
"""This recursive function flattens the record node.

Expand All @@ -405,6 +416,7 @@ def _flatten_record(
separator: The string to use when concatenating key names.
level: The current recursion level (zero-based).
max_level: The max recursion level (zero-based, exclusive).
nan_strategy: Strategy for handling NaNs in json.

Returns:
A flattened version of the provided node.
Expand All @@ -424,13 +436,23 @@ def _flatten_record(
separator=separator,
level=level + 1,
max_level=max_level,
nan_strategy=nan_strategy,
).items(),
)
else:
nan_strategies = {
"fail": False,
"allow": True,
}
items.append(
(
new_key,
json.dumps(v, use_decimal=True, default=str)
json.dumps(
v,
use_decimal=True,
default=str,
allow_nan=nan_strategies[nan_strategy],
)
if _should_jsondump_value(k, v, flattened_schema)
else v,
),
Expand Down
1 change: 1 addition & 0 deletions singer_sdk/mapper.py
Original file line number Diff line number Diff line change
Expand Up @@ -121,6 +121,7 @@ def flatten_record(self, record: dict) -> dict:
flattened_schema=self.transformed_schema,
max_level=self.flattening_options.max_level,
separator=self.flattening_options.separator,
nan_strategy=self.flattening_options.nan_strategy,
)

def flatten_schema(self, raw_schema: dict) -> dict:
Expand Down