feat: Recover from reading incompatible schema metadata if validation is allowed

[Copilot]

When serialization formats change (e.g., primary_keys vs primary_key), previously serialized schemas/collections become unreadable. Schema deserialization already handles this via a strict parameter, but collections did not. Additionally, when reading serialized data, using non-strict schema deserialization in all cases that would allow validation to be run allows to recover from unreadable metadata where it is not needed.

Changes

• Added strict parameter to deserialize_collection: Mirrors existing deserialize_schema behavior—when strict=False, returns None on deserialization errors instead of raising exceptions
• Propagated strict through deserialization chain: Updated _deserialize_types to accept and forward the parameter
• Connected to scan_parquet/read_parquet validation modes: Both Collection._read and Schema._validate_if_needed now pass strict=False when validation is "allow", "skip" or "warn", allowing automatic fallback to validation when old formats are detected

Original prompt

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This section details on the original issue you should resolve

<issue_title>Catch errors when reading serialized schemas also for collections</issue_title>
<issue_description>If the format of serialized schema or collections change, previously serialized schemas might not be readable with new dataframely versions (e.g. primary_keys vs. primary_key). For schemas, this is already handled by catching errors in the dataframely.schema.deserialize_schema method if strict is False.

It would be nice if this could also be done in collections (dataframely.collection.collection._deserialize_types).

Additionally, in both cases, when these methods are called transitively via a scan_parquet call, the strict option should be set to False whenever the validation option allows that.

That would allow reading data that was serialized with a previous version (which then might require validation). </issue_description>

<agent_instructions>Extend the collection method with the strict parameter and catch exceptions if it is False. When called from scan_parquet, strict should be set to False if the validation setting is set to allow.</agent_instructions>

Comments on the Issue (you are @copilot in this section)

• Fixes Catch errors when reading serialized schemas also for collections #230

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 100.00%. Comparing base (1660d88) to head (037b68c).

Additional details and impacted files

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##              main      #231   +/-   ##
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  Coverage   100.00%   100.00%           
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  Files           53        53           
  Lines         3019      3032   +13     
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+ Hits          3019      3032   +13     

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