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docs: Fix outdated examples and update documentation for boto3-compatible responses
Updated all documentation to reflect the boto3-compatible dict responses:
- Fixed pagination examples in README.md to use dict access
- Updated docs/sdk/api.md with correct list_objects() signature and examples
- Added return type documentation for list_objects()
- Updated CHANGELOG.md with breaking changes and migration info
All examples now use:
- response['Contents'] instead of response.contents
- response.get('IsTruncated') instead of response.is_truncated
- response.get('NextContinuationToken') for pagination
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
18
CHANGELOG.md
18
CHANGELOG.md
@@ -5,6 +5,24 @@ All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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### Added
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- boto3-compatible TypedDict types for S3 responses (no boto3 import needed)
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- Complete boto3 compatibility vision document
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### Changed
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- **BREAKING**: `list_objects()` now returns boto3-compatible dict instead of custom dataclass
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- Use `response['Contents']` instead of `response.contents`
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- Use `response.get('IsTruncated')` instead of `response.is_truncated`
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- Use `response.get('NextContinuationToken')` instead of `response.next_continuation_token`
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- DeltaGlider metadata now in `Metadata` field of each object
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### Fixed
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- Updated all documentation examples to use dict-based responses
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- Fixed pagination examples in README and API docs
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- Corrected SDK documentation with accurate method signatures
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## [4.2.4] - 2025-01-10
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### Fixed
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@@ -207,14 +207,18 @@ with open('downloaded.zip', 'wb') as f:
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# Smart list_objects with optimized performance
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response = client.list_objects(Bucket='releases', Prefix='v2.0.0/')
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for obj in response['Contents']:
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print(f"{obj['Key']}: {obj['Size']} bytes")
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# Paginated listing for large buckets
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response = client.list_objects(Bucket='releases', MaxKeys=100)
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while response.is_truncated:
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while response.get('IsTruncated'):
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for obj in response['Contents']:
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print(obj['Key'])
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response = client.list_objects(
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Bucket='releases',
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MaxKeys=100,
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ContinuationToken=response.next_continuation_token
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ContinuationToken=response.get('NextContinuationToken')
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)
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# Delete and inspect objects
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@@ -94,7 +94,7 @@ def list_objects(
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StartAfter: Optional[str] = None,
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FetchMetadata: bool = False,
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**kwargs
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) -> ListObjectsResponse
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) -> dict[str, Any]
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```
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##### Parameters
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@@ -117,19 +117,32 @@ The method intelligently optimizes performance by:
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2. Only fetching metadata for delta files when explicitly requested
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3. Supporting efficient pagination for large buckets
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##### Returns
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boto3-compatible dict with:
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- **Contents** (`list[dict]`): List of S3Object dicts with Key, Size, LastModified, Metadata
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- **CommonPrefixes** (`list[dict]`): Optional list of common prefixes (folders)
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- **IsTruncated** (`bool`): Whether more results are available
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- **NextContinuationToken** (`str`): Token for next page
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- **KeyCount** (`int`): Number of keys returned
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##### Examples
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```python
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# Fast listing for UI display (no metadata fetching)
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response = client.list_objects(Bucket='releases')
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for obj in response['Contents']:
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print(f"{obj['Key']}: {obj['Size']} bytes")
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# Paginated listing for large buckets
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response = client.list_objects(Bucket='releases', MaxKeys=100)
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while response.is_truncated:
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while response.get('IsTruncated'):
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for obj in response['Contents']:
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print(obj['Key'])
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response = client.list_objects(
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Bucket='releases',
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MaxKeys=100,
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ContinuationToken=response.next_continuation_token
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ContinuationToken=response.get('NextContinuationToken')
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)
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# Get detailed compression stats (slower, only for analytics)
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@@ -137,6 +150,11 @@ response = client.list_objects(
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Bucket='releases',
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FetchMetadata=True # Only fetches for delta files
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)
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for obj in response['Contents']:
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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"{obj['Key']}: {compression} compression")
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```
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#### `get_bucket_stats`
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