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https://github.com/beshu-tech/deltaglider.git
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feat: Implement boto3-compatible dict responses (Phase 2)
Changed list_objects() to return boto3-compatible dict instead of custom
ListObjectsResponse dataclass. This makes DeltaGlider a true drop-in replacement
for boto3.client('s3').
Changes:
- list_objects() now returns dict[str, Any] with boto3-compatible structure:
* Contents: list[S3Object] (dict with Key, Size, LastModified, etc.)
* CommonPrefixes: list[dict] for folder simulation
* IsTruncated, NextContinuationToken for pagination
* DeltaGlider metadata stored in standard Metadata field
- Updated all client methods that use list_objects() to work with dict responses:
* find_similar_files()
* get_bucket_stats()
* CLI ls command
- Updated all tests to use dict access (response['Contents']) instead of
dataclass access (response.contents)
- Updated examples/boto3_compatible_types.py to demonstrate usage
- DeltaGlider-specific metadata now in Metadata field:
* deltaglider-is-delta: "true"/"false"
* deltaglider-original-size: string number
* deltaglider-compression-ratio: string number or "unknown"
* deltaglider-reference-key: optional string
Benefits:
- True drop-in replacement for boto3
- No learning curve - if you know boto3, you know DeltaGlider
- Works with any boto3-compatible library
- Type safety through TypedDict (no boto3 import needed)
- Zero runtime overhead (TypedDict compiles to plain dict)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
@@ -1,7 +1,11 @@
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"""Example: Using boto3-compatible types without importing boto3.
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"""Example: Using boto3-compatible responses without importing boto3.
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This demonstrates how DeltaGlider provides full type safety without
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requiring boto3 imports in user code.
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This demonstrates how DeltaGlider provides full type safety and boto3 compatibility
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without requiring boto3 imports in user code.
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As of v5.0.0, DeltaGlider returns plain dicts (not custom dataclasses) that are
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100% compatible with boto3 S3 responses. You get IDE autocomplete through TypedDict
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type hints without any runtime overhead.
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"""
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from deltaglider import ListObjectsV2Response, S3Object, create_client
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@@ -17,6 +21,7 @@ def process_files(bucket: str, prefix: str) -> None:
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Bucket=bucket, Prefix=prefix, Delimiter="/"
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)
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# Response is a plain dict - 100% boto3-compatible
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# TypedDict provides autocomplete and type checking
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for obj in response["Contents"]:
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# obj is typed as S3Object - all fields have autocomplete!
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@@ -24,6 +29,12 @@ def process_files(bucket: str, prefix: str) -> None:
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size: int = obj["Size"] # ✅ IDE knows this is int
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print(f"{key}: {size} bytes")
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# DeltaGlider metadata is in the standard Metadata field
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metadata = obj.get("Metadata", {})
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if metadata.get("deltaglider-is-delta") == "true":
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compression = metadata.get("deltaglider-compression-ratio", "unknown")
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print(f" └─ Delta file (compression: {compression})")
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# Optional fields work too
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for prefix_dict in response.get("CommonPrefixes", []):
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print(f"Directory: {prefix_dict['Prefix']}")
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@@ -49,3 +60,5 @@ if __name__ == "__main__":
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print("✅ Full type safety without boto3 imports!")
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print("✅ 100% compatible with boto3")
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print("✅ Drop-in replacement")
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print("✅ Plain dict responses (not custom dataclasses)")
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print("✅ DeltaGlider metadata in standard Metadata field")
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