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## Description
Data model migration for new release
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---------
Co-authored-by: vasilije <vas.markovic@gmail.com>
Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
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## Description
fix: Adds graceful handling quick fix for damaged pdf files
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---------
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
Co-authored-by: Igor Ilic <igorilic03@gmail.com>
## Summary
This PR fixes an asymmetry issue where files saved with `file://`
prefixes could not be read back, causing "file not found" errors.
## Problem
The Cognee framework has a bug where:
- `save_data_to_file.py` adds `file://` prefix when saving files
- `open_data_file.py` doesn't handle the `file://` prefix when reading
files
- This causes saved files to appear as "lost" with cryptic "file not
found" errors
## Solution
Added proper handling for `file://` URLs in `open_data_file.py` by:
- Checking if the file path starts with `"file://"`
- Stripping the prefix using `replace("file://", "", 1)`
- Following the same pattern as S3 URL handling
## Changes
- Modified
`cognee/modules/data/processing/document_types/open_data_file.py` to
handle `file://` URLs
- Added comprehensive unit tests in
`cognee/tests/unit/modules/data/test_open_data_file.py`
## Testing
Added 6 test cases covering:
- Regular file paths (ensuring backward compatibility)
- file:// URLs in text mode
- file:// URLs in binary mode
- file:// URLs with specific encoding
- Nonexistent files with file:// URLs
- Edge case with multiple file:// prefixes
All tests pass successfully.
## Notes
- This is a minimal fix that maintains backward compatibility
- The fix follows the existing pattern used for S3 URL handling
- No breaking changes to the API
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
Signed-off-by: Hashem Aldhaheri <aenawi@gmail.com>
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## Description
Makes s3 pathway imports optional so cognee can run without s3fs
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---------
Co-authored-by: Boris Arzentar <borisarzentar@gmail.com>
Co-authored-by: Boris <boris@topoteretes.com>
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## Description
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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
---------
Co-authored-by: vasilije <vas.markovic@gmail.com>
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
Co-authored-by: Igor Ilic <igorilic03@gmail.com>
Co-authored-by: Hande <159312713+hande-k@users.noreply.github.com>
Co-authored-by: Matea Pesic <80577904+matea16@users.noreply.github.com>
Co-authored-by: hajdul88 <52442977+hajdul88@users.noreply.github.com>
Co-authored-by: Daniel Molnar <soobrosa@gmail.com>
Co-authored-by: Diego Baptista Theuerkauf <34717973+diegoabt@users.noreply.github.com>
<!-- .github/pull_request_template.md -->
## Description
Added tools to check current cognify and codify status
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## Description
Fix graph prompt path
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
---------
Co-authored-by: Evain Arthur <arthur.evain35@gmail.com>
Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
Co-authored-by: Boris <boris@topoteretes.com>
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## Description
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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
---------
Co-authored-by: lxobr <122801072+lxobr@users.noreply.github.com>
Co-authored-by: Boris <boris@topoteretes.com>
Co-authored-by: Boris Arzentar <borisarzentar@gmail.com>
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## Description
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Co-authored-by: Daniel Molnar <soobrosa@gmail.com>
<!-- .github/pull_request_template.md -->
## Description
Delete by document.
## DCO Affirmation
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## Description
Adds S3 support
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## Description
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- Added new graph creation prompts
- Exposed graph creation prompts in .cognify via get_default tasks
- Exposed graph creation prompts in eval framework
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
---------
Co-authored-by: hajdul88 <52442977+hajdul88@users.noreply.github.com>
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## Description
Introducing scructlog.
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## Description
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## Description
Cognee backend fixes
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Improved handling of `tenant_id` in JWT payload for enhanced type
safety.
- Unique identifier generation for datasets now considers the owner ID,
allowing for multiple users to share the same dataset name.
- **Bug Fixes**
- Disabled user role permissions in the permission check logic
temporarily during a rework.
- **Refactor**
- Simplified dependencies by removing unnecessary model imports.
- Updated parameter name from `tenant` to `tenant_id` for clarity in JWT
creation.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
Added user authorization through JWT header, reworked user and relevant
RBAC models to accompany future User Permission system.
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **New Features**
- Introduced an automated workflow to validate server startup.
- Added secure JWT token generation for improved session handling.
- Enabled a new structure for permission management with role and
tenant-based controls, including endpoints for creating roles, tenants,
and assigning permissions.
- Added methods for assigning default permissions to roles, tenants, and
users.
- Introduced new classes for managing default permissions for roles,
tenants, and users.
- **Refactor**
- Streamlined authentication and user management flows with enhanced
error handling.
- **Tests**
- Upgraded integration tests with improved database initialization and
data pruning for a more stable environment.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
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## Description
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## Summary by CodeRabbit
- **Refactor**
- Simplified text processing by unifying multiple size-related
parameters into a single metric across chunking and extraction
functionalities.
- Streamlined logic for text segmentation by removing redundant
calculations and checks, resulting in a more consistent chunk management
process.
- **Chores**
- Removed the `modal` package as a dependency.
- **Documentation**
- Updated the README.md to include a new demo video link and clarified
default environment variable settings.
- Enhanced the CONTRIBUTING.md to improve clarity and engagement for
potential contributors.
- **Bug Fixes**
- Improved handling of sentence-ending punctuation in text processing to
include additional characters.
- **Version Update**
- Updated project version to 0.1.33 in the pyproject.toml file.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
- Refactored `brute_force_triplet_search`, extracting memory projection.
- Built **TripletSearchContextProvider** (extends
**BaseContextProvider**) to create a single memory projection and
perform a triplet search for each entity.
- Refactored `entity_completion` into **EntityCompletionRetriever**
(extends **BaseRetriever**).
- Added **SummarizedTripletSearchContextProvider** (extends
**TripletSearchContextProvider**) for an alternative summarized output
format.
- Developed and tested an example showcasing both context providers,
comparing raw triplets, summaries, and standard search results.
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **New Features**
- Enhanced text summarization now delivers clearer, more concise
overviews of search results.
- Improved search performance with optimized context retrieval and
memory reuse for faster, more reliable results.
- Introduced advanced entity-based completion for generating more
relevant, context-aware responses.
- **Refactor**
- Streamlined internal workflows and error handling to ensure a smoother
overall experience.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Boris <boris@topoteretes.com>
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## Description
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<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **New Features**
- Introduced a new analytic capability that calculates descriptive graph
metrics for pipeline runs when enabled.
- Updated the execution flow to include an option for activating the
graph metrics step.
- **Chores**
- Removed the previous mechanism for storing descriptive metrics to
streamline the system.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
Co-authored-by: Boris <boris@topoteretes.com>
<!-- .github/pull_request_template.md -->
## Description
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the terms of the Topoteretes Developer Certificate of Origin
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **New Features**
- Introduced a modular content chunking interface that offers flexible
text segmentation with configurable chunk size and overlap.
- Added new chunkers for enhanced text processing, including
`LangchainChunker` and improved `TextChunker`.
- **Refactor**
- Unified the chunk extraction mechanism across various document types
for improved consistency and type safety.
- Updated method signatures to enhance clarity and type safety regarding
chunker usage.
- Enhanced error handling and logging during text segmentation to guide
adjustments when content exceeds limits.
- **Bug Fixes**
- Adjusted expected output in tests to reflect changes in chunking logic
and configurations.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
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## Description
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<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **New Features**
- Enhanced document chunk extraction for improved processing consistency
across multiple formats.
- **Refactor**
- Streamlined the configuration for text chunking by replacing indirect
mappings with a direct instantiation approach across document types.
- Updated method signatures across various document classes to accept
chunker class references instead of string identifiers.
- **Chores**
- Removed legacy configuration utilities related to document chunking to
simplify processing.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Boris <boris@topoteretes.com>
<!-- .github/pull_request_template.md -->
This PR contains the evaluation framework development for cognee
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **New Features**
- Expanded evaluation framework now integrates asynchronous corpus
building, question answering, and performance evaluation with adaptive
benchmarks for improved metrics (correctness, exact match, and F1
score).
- **Infrastructure**
- Added database integration for persistent storage of questions,
answers, and metrics.
- Launched an interactive metrics dashboard featuring advanced
visualizations.
- Introduced an automated testing workflow for continuous quality
assurance.
- **Documentation**
- Updated guidelines for generating concise, clear answers.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **New Features**
• Graph visualizations now allow exporting to a user-specified file path
for more flexible output management.
• The text embedding process has been enhanced with an additional
tokenizer option for improved performance.
• A new `ExtendableDataPoint` class has been introduced for future
extensions.
• New JSON files for companies and individuals have been added to
facilitate testing and data processing.
- **Improvements**
• Search functionality now uses updated identifiers for more reliable
content retrieval.
• Metadata handling has been streamlined across various classes by
removing unnecessary type specifications.
• Enhanced serialization of properties in the Neo4j adapter for improved
handling of complex structures.
• The setup process for databases has been improved with a new
asynchronous setup function.
- **Chores**
• Dependency and configuration updates improve overall stability and
performance.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
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## Description
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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **New Features**
- Enhanced graph management capabilities allow users to verify graph
existence, project complete graphs, and remove graphs, delivering more
comprehensive graph insights.
- **Refactor**
- Adjusted default task behavior for streamlined performance.
- Updated timestamp handling to ensure accurate and consistent record
tracking.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
<!-- .github/pull_request_template.md -->
## Description
Add re-raising of errors in general exception handling
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **Bug Fixes & Stability Improvements**
- Enhanced error handling throughout the system, ensuring issues during
operations like server startup, data processing, and graph management
are properly logged and reported.
- **Refactor**
- Standardized logging practices replace basic output statements,
improving traceability and providing better insights for
troubleshooting.
- **New Features**
- Updated search functionality now returns only unique results,
enhancing data consistency and the overall user experience.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: holchan <61059652+holchan@users.noreply.github.com>
Co-authored-by: Boris <boris@topoteretes.com>
<!-- .github/pull_request_template.md -->
## Description
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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **New Features**
- Enabled an option to retrieve more detailed metrics, providing
comprehensive analytics for graph and descriptive data.
- **Refactor**
- Standardized the way metrics are obtained across components for
consistent behavior and improved data accuracy.
- **Chore**
- Made internal enhancements to support optional detailed metric
calculations, streamlining system performance and ensuring future
scalability.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
Dummy implementation of graph metrics to demonstrate how the interface
will look like
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## Description
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## Summary by CodeRabbit
- **New Features**
- Introduced asynchronous functionality for retrieving comprehensive
graph metrics, including counts and connectivity details, across
different systems.
- **Refactor**
- Streamlined metrics processing and storage by shifting to direct
retrieval from the graph engine.
- Updated naming conventions for the `GraphMetrics` database table and
reorganized module imports to enhance internal consistency.
- **Chores**
- Removed dataset deletion functionalities while introducing the ability
to store descriptive metrics.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
* Count the number of tokens in documents
* save token count to relational db
* Add metrics to metric table
* Store list as json instead of array in relational db table
* Sum in sql instead of python
* Unify naming
* Return data_points in descriptive metric calculation task
---------
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
* Count the number of tokens in documents
* save token count to relational db
---------
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
* feat: make tasks a configurable argument in the cognify function
* fix: add data points task
* Define pydantic models for descriptive graph metrics and input metrics
* remove to_json method
* Use just one MetricData class instead of two
---------
Co-authored-by: lxobr <122801072+lxobr@users.noreply.github.com>
Currently TikToken is used for tokenizing by default which is only supported by OpenAI,
this is an initial commit in an attempt to add Cognee tokenizing support for multiple LLMs
