Graphistry

Latest version: v0.36.0

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0.33.2

Added

* GFQL: Export shorter alias `e` for `e_undirected`
* Featurize: More auto-dropping of non-numerics when no `dirty_cat`

Fixed

* GFQL: `hop()` defaults to `debugging_hop=False`
* GFQL: Edge cases around shortest-path multi-hop queries failing to enrich against target nodes during backwards pass

Infra

* Pin test env to work around test fails: `'test': ['flake8>=5.0', 'mock', 'mypy', 'pytest'] + stubs + test_workarounds,` + `test_workarounds = ['scikit-learn<=1.3.2']`
* Skip dbscan tests that require umap when it is not available

0.33.0

Added

* GFQL: GPU acceleration of `chain`, `hop`, `filter_by_dict`
* `AbstractEngine` to `engine.py::Engine` enum
* `compute.typing.DataFrameT` to centralize df-lib-agnostic type checking

Refactor

* GFQL and more of compute uses generic dataframe methods and threads through engine

Infra

* GPU tester threads through LOG_LEVEL

0.32.0

Added

* GFQL `Chain` AST object
* GFQL query serialization - `Chain`, `ASTObject`, and `ASTPredict` implement `ASTSerializable`
- Ex:`Chain.from_json(Chain([n(), e(), n()]).to_json())`
* GFQL predicate `is_year_end`

Docs

* GFQL in readme.md

Changes

* Refactor `ASTEdge`, `ASTNode` field naming convention to match other `ASTSerializable`s

Breaking 🔥

* GFQL `e()` now aliases `e_undirected` instead of the base class `ASTEdge`

0.31.1

Docs

* Update readthedocs yml to work around ReadTheDocs v2 yml interpretation regressions
* Make README.md pass markdownlint
* Switch markdownlint docker channel to official and pin

0.30.0

Added

* Neptune: Can now use PyGraphistry OpenCypher/BOLT bindings with Neptune, in addition to existing Gremlin bindings
* chain/hop: `is_in()` membership predicate, `.chain([ n({'type': is_in(['a', 'b'])}) ])`
* hop: optional df queries - `hop(..., source_node_query='...', edge_query='...', destination_node_query='...')`
* chain: optional df queries:
- `chain([n(query='...')])`
- `chain([e_forward(..., source_node_query='...', edge_query='...', destination_node_query='...')])`
* `ASTPredicate` base class for filter matching
* Additional predicates for hop and chain match expressions:
- categorical: is_in (example above), duplicated
- temporal: is_month_start, is_month_end, is_quarter_start, is_quarter_end, is_year_start, is_year_end, is_leap_year
- numeric: gt, lt, ge, le, eq, ne, between, isna, notna
- str: contains, startswith, endswith, match, isnumeric, isalpha, isdigit, islower, isupper, isspace, isalnum, isdecimal, istitle, isnull, notnull

Fixed

* chain/hop: source_node_match was being mishandled when multiple node attributes exist
* chain: backwards validation pass was too permissive; add `target_wave_front` check`
* hop: multi-hops with `source_node_match` specified was not checking intermediate hops
* hop: multi-hops reverse validation was mishandling intermediate nodes
* compute logging no longer default-overrides level to DEBUG

Infra

* Docker tests support LOG_LEVEL

Changed

* refactor: move `is_in`, `IsIn` implementations to `graphistry.ast.predicates`; old imports preserved
* `IsIn` now implements `ASTPredicate`
* Refactor: use `setup_logger(__name__)` more consistently instead of `logging.getLogger(__name__)`
* Refactor: drop unused imports
* Redo `setup_logger()` to activate formatted stream handler iff verbose / LOG_LEVEL

Docs

* hop/chain: new query and predicate forms
* hop/chain graph pattern mining tutorial: [ipynb demo](demos/more_examples/graphistry_features/hop_and_chain_graph_pattern_mining.ipynb)
* Neptune: Initial tutorial for using PyGraphistry with Amazon Neptune's OpenCypher/BOLT bindings

0.29.7

Added

* igraph: support `compute_igraph('community_optimal_modularity')`
* igraph: `compute_igraph('articulation_points')` labels nodes that are articulation points

Fixed

* Type error in arrow uploader exception handler
* igraph: default coerce Graph-type node labels to strings, enabling plotting of g.compute_igraph('k_core')
* igraph: fix coercions when using numeric IDs that were confused by igraph swizzling

Infra

* dask: Fixed parsing error in hypergraph dask tests
* igraph: Ensure in compute_igraph tests that default mode results coerce to arrow tables
* igraph: Test chaining
* tests: mount source folders to enable dev iterations without rebuilding

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