diff --git a/poetry.lock b/poetry.lock
index c13983c..448be4d 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,110 +1,123 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.4.4"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
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+]
 
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 optional = false
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 ]
 
 [package.dependencies]
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 aiosignal = ">=1.1.2"
-async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
+async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.0,<2.0"
+propcache = ">=0.2.0"
+yarl = ">=1.17.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "brotlicffi"]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
-version = "1.3.1"
+version = "1.3.2"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -112,96 +125,98 @@ frozenlist = ">=1.1.0"
 
 [[package]]
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-version = "4.13.1"
-description = "ANTLR 4.13.1 runtime for Python 3"
+version = "4.13.2"
+description = "ANTLR 4.13.2 runtime for Python 3"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [[package]]
 name = "async-timeout"
-version = "4.0.3"
+version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "24.3.0"
 description = "Classes Without Boilerplate"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
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-dev = ["attrs[docs,tests]", "pre-commit"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
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+cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "bandit"
-version = "1.7.6"
+version = "1.8.0"
 description = "Security oriented static analyser for python code."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
 colorama = {version = ">=0.3.9", markers = "platform_system == \"Windows\""}
-GitPython = ">=3.1.30"
 PyYAML = ">=5.3.1"
 rich = "*"
 stevedore = ">=1.20.0"
 
 [package.extras]
-test = ["beautifulsoup4 (>=4.8.0)", "coverage (>=4.5.4)", "fixtures (>=3.0.0)", "flake8 (>=4.0.0)", "pylint (==1.9.4)", "stestr (>=2.5.0)", "testscenarios (>=0.5.0)", "testtools (>=2.3.0)", "tomli (>=1.1.0)"]
+baseline = ["GitPython (>=3.1.30)"]
+sarif = ["jschema-to-python (>=1.2.3)", "sarif-om (>=1.0.4)"]
+test = ["beautifulsoup4 (>=4.8.0)", "coverage (>=4.5.4)", "fixtures (>=3.0.0)", "flake8 (>=4.0.0)", "pylint (==1.9.4)", "stestr (>=2.5.0)", "testscenarios (>=0.5.0)", "testtools (>=2.3.0)"]
 toml = ["tomli (>=1.1.0)"]
 yaml = ["PyYAML"]
 
 [[package]]
 name = "black"
-version = "23.12.0"
+version = "23.12.1"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -221,24 +236,24 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "cachetools"
-version = "5.3.2"
+version = "5.5.0"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "certifi"
-version = "2023.11.17"
+version = "2024.12.14"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [[package]]
@@ -254,112 +269,114 @@ files = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.3.2"
+version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
-python-versions = ">=3.7.0"
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 ]
 
 [[package]]
 name = "click"
-version = "8.1.7"
+version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
-    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
+    {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
+    {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"},
 ]
 
 [package.dependencies]
@@ -414,45 +431,46 @@ packaging = "*"
 
 [[package]]
 name = "distlib"
-version = "0.3.8"
+version = "0.3.9"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
 files = [
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-    {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"},
+    {file = "distlib-0.3.9-py2.py3-none-any.whl", hash = "sha256:47f8c22fd27c27e25a65601af709b38e4f0a45ea4fc2e710f65755fa8caaaf87"},
+    {file = "distlib-0.3.9.tar.gz", hash = "sha256:a60f20dea646b8a33f3e7772f74dc0b2d0772d2837ee1342a00645c81edf9403"},
 ]
 
 [[package]]
 name = "docker"
-version = "7.0.0"
+version = "7.1.0"
 description = "A Python library for the Docker Engine API."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "docker-7.0.0-py3-none-any.whl", hash = "sha256:12ba681f2777a0ad28ffbcc846a69c31b4dfd9752b47eb425a274ee269c5e14b"},
-    {file = "docker-7.0.0.tar.gz", hash = "sha256:323736fb92cd9418fc5e7133bc953e11a9da04f4483f828b527db553f1e7e5a3"},
+    {file = "docker-7.1.0-py3-none-any.whl", hash = "sha256:c96b93b7f0a746f9e77d325bcfb87422a3d8bd4f03136ae8a85b37f1898d5fc0"},
+    {file = "docker-7.1.0.tar.gz", hash = "sha256:ad8c70e6e3f8926cb8a92619b832b4ea5299e2831c14284663184e200546fa6c"},
 ]
 
 [package.dependencies]
-packaging = ">=14.0"
 pywin32 = {version = ">=304", markers = "sys_platform == \"win32\""}
 requests = ">=2.26.0"
 urllib3 = ">=1.26.0"
 
 [package.extras]
+dev = ["coverage (==7.2.7)", "pytest (==7.4.2)", "pytest-cov (==4.1.0)", "pytest-timeout (==2.1.0)", "ruff (==0.1.8)"]
+docs = ["myst-parser (==0.18.0)", "sphinx (==5.1.1)"]
 ssh = ["paramiko (>=2.4.3)"]
 websockets = ["websocket-client (>=1.3.0)"]
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.0"
+version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
-    {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
+    {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
+    {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
 ]
 
 [package.extras]
@@ -460,19 +478,19 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "filelock"
-version = "3.13.1"
+version = "3.16.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
-    {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
+    {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
+    {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
 ]
 
 [package.extras]
-docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
-testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
-typing = ["typing-extensions (>=4.8)"]
+docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
+typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
 name = "flake8"
@@ -525,13 +543,13 @@ dev = ["coverage", "hypothesis", "hypothesmith (>=0.2)", "pre-commit", "pytest",
 
 [[package]]
 name = "flake8-builtins"
-version = "2.2.0"
+version = "2.5.0"
 description = "Check for python builtins being used as variables or parameters"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -542,17 +560,17 @@ test = ["pytest"]
 
 [[package]]
 name = "flake8-comprehensions"
-version = "3.14.0"
+version = "3.16.0"
 description = "A flake8 plugin to help you write better list/set/dict comprehensions."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
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+flake8 = ">=3,<3.2 || >3.2"
 
 [[package]]
 name = "flake8-docstrings"
@@ -603,88 +621,103 @@ flake8 = ">3.0.0"
 
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 name = "frozenlist"
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 python-versions = ">=3.8"
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 ]
 
 [[package]]
@@ -749,46 +782,15 @@ requests = "*"
 crc = ["crcmod"]
 gcsfuse = ["fusepy"]
 
-[[package]]
-name = "gitdb"
-version = "4.0.11"
-description = "Git Object Database"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
-    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
-]
-
-[package.dependencies]
-smmap = ">=3.0.1,<6"
-
-[[package]]
-name = "gitpython"
-version = "3.1.40"
-description = "GitPython is a Python library used to interact with Git repositories"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "GitPython-3.1.40-py3-none-any.whl", hash = "sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a"},
-    {file = "GitPython-3.1.40.tar.gz", hash = "sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4"},
-]
-
-[package.dependencies]
-gitdb = ">=4.0.1,<5"
-
-[package.extras]
-test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-instafail", "pytest-subtests", "pytest-sugar"]
-
 [[package]]
 name = "google-api-core"
-version = "2.15.0"
+version = "2.24.0"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-api-core-2.15.0.tar.gz", hash = "sha256:abc978a72658f14a2df1e5e12532effe40f94f868f6e23d95133bd6abcca35ca"},
-    {file = "google_api_core-2.15.0-py3-none-any.whl", hash = "sha256:2aa56d2be495551e66bbff7f729b790546f87d5c90e74781aa77233bcb395a8a"},
+    {file = "google_api_core-2.24.0-py3-none-any.whl", hash = "sha256:10d82ac0fca69c82a25b3efdeefccf6f28e02ebb97925a8cce8edbfe379929d9"},
+    {file = "google_api_core-2.24.0.tar.gz", hash = "sha256:e255640547a597a4da010876d333208ddac417d60add22b6851a0c66a831fcaf"},
 ]
 
 [package.dependencies]
@@ -802,23 +804,28 @@ grpcio-status = [
     {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
     {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
+proto-plus = [
+    {version = ">=1.22.3,<2.0.0dev", markers = "python_version < \"3.13\""},
+    {version = ">=1.25.0,<2.0.0dev", markers = "python_version >= \"3.13\""},
+]
+protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
 requests = ">=2.18.0,<3.0.0.dev0"
 
 [package.extras]
+async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.dev0)"]
 grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"]
 grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.25.2"
+version = "2.37.0"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-auth-2.25.2.tar.gz", hash = "sha256:42f707937feb4f5e5a39e6c4f343a17300a459aaf03141457ba505812841cc40"},
-    {file = "google_auth-2.25.2-py2.py3-none-any.whl", hash = "sha256:473a8dfd0135f75bb79d878436e568f2695dce456764bf3a02b6f8c540b1d256"},
+    {file = "google_auth-2.37.0-py2.py3-none-any.whl", hash = "sha256:42664f18290a6be591be5329a96fe30184be1a1badb7292a7f686a9659de9ca0"},
+    {file = "google_auth-2.37.0.tar.gz", hash = "sha256:0054623abf1f9c83492c63d3f47e77f0a544caa3d40b2d98e099a611c2dd5d00"},
 ]
 
 [package.dependencies]
@@ -828,20 +835,21 @@ rsa = ">=3.1.4,<5"
 
 [package.extras]
 aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
-enterprise-cert = ["cryptography (==36.0.2)", "pyopenssl (==22.0.0)"]
+enterprise-cert = ["cryptography", "pyopenssl"]
+pyjwt = ["cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
 pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
 requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
 [[package]]
 name = "google-auth-oauthlib"
-version = "1.2.0"
+version = "1.2.1"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "google-auth-oauthlib-1.2.0.tar.gz", hash = "sha256:292d2d3783349f2b0734a0a0207b1e1e322ac193c2c09d8f7c613fb7cc501ea8"},
-    {file = "google_auth_oauthlib-1.2.0-py2.py3-none-any.whl", hash = "sha256:297c1ce4cb13a99b5834c74a1fe03252e1e499716718b190f56bcb9c4abc4faf"},
+    {file = "google_auth_oauthlib-1.2.1-py2.py3-none-any.whl", hash = "sha256:2d58a27262d55aa1b87678c3ba7142a080098cbc2024f903c62355deb235d91f"},
+    {file = "google_auth_oauthlib-1.2.1.tar.gz", hash = "sha256:afd0cad092a2eaa53cd8e8298557d6de1034c6cb4a740500b5357b648af97263"},
 ]
 
 [package.dependencies]
@@ -853,29 +861,30 @@ tool = ["click (>=6.0.0)"]
 
 [[package]]
 name = "google-cloud-bigquery"
-version = "3.14.1"
+version = "3.27.0"
 description = "Google BigQuery API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-bigquery-3.14.1.tar.gz", hash = "sha256:aa15bd86f79ea76824c7d710f5ae532323c4b3ba01ef4abff42d4ee7a2e9b142"},
-    {file = "google_cloud_bigquery-3.14.1-py2.py3-none-any.whl", hash = "sha256:a8ded18455da71508db222b7c06197bc12b6dbc6ed5b0b64e7007b76d7016957"},
+    {file = "google_cloud_bigquery-3.27.0-py2.py3-none-any.whl", hash = "sha256:b53b0431e5ba362976a4cd8acce72194b4116cdf8115030c7b339b884603fcc3"},
+    {file = "google_cloud_bigquery-3.27.0.tar.gz", hash = "sha256:379c524054d7b090fa56d0c22662cc6e6458a6229b6754c0e7177e3a73421d2c"},
 ]
 
 [package.dependencies]
-google-api-core = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0dev"
-google-cloud-core = ">=1.6.0,<3.0.0dev"
-google-resumable-media = ">=0.6.0,<3.0dev"
+google-api-core = {version = ">=2.11.1,<3.0.0dev", extras = ["grpc"]}
+google-auth = ">=2.14.1,<3.0.0dev"
+google-cloud-core = ">=2.4.1,<3.0.0dev"
+google-resumable-media = ">=2.0.0,<3.0dev"
 packaging = ">=20.0.0"
-python-dateutil = ">=2.7.2,<3.0dev"
+python-dateutil = ">=2.7.3,<3.0dev"
 requests = ">=2.21.0,<3.0.0dev"
 
 [package.extras]
-all = ["Shapely (>=1.8.4,<3.0.0dev)", "db-dtypes (>=0.3.0,<2.0.0dev)", "geopandas (>=0.9.0,<1.0dev)", "google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "importlib-metadata (>=1.0.0)", "ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)", "ipywidgets (>=7.7.0)", "opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)", "pandas (>=1.1.0)", "proto-plus (>=1.15.0,<2.0.0dev)", "protobuf (>=3.19.5,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev)", "pyarrow (>=3.0.0)", "tqdm (>=4.7.4,<5.0.0dev)"]
-bigquery-v2 = ["proto-plus (>=1.15.0,<2.0.0dev)", "protobuf (>=3.19.5,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev)"]
+all = ["Shapely (>=1.8.4,<3.0.0dev)", "bigquery-magics (>=0.1.0)", "db-dtypes (>=0.3.0,<2.0.0dev)", "geopandas (>=0.9.0,<1.0dev)", "google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "importlib-metadata (>=1.0.0)", "ipykernel (>=6.0.0)", "ipywidgets (>=7.7.0)", "opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)", "pandas (>=1.1.0)", "proto-plus (>=1.22.3,<2.0.0dev)", "protobuf (>=3.20.2,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<6.0.0dev)", "pyarrow (>=3.0.0)", "tqdm (>=4.7.4,<5.0.0dev)"]
+bigquery-v2 = ["proto-plus (>=1.22.3,<2.0.0dev)", "protobuf (>=3.20.2,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<6.0.0dev)"]
 bqstorage = ["google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "pyarrow (>=3.0.0)"]
 geopandas = ["Shapely (>=1.8.4,<3.0.0dev)", "geopandas (>=0.9.0,<1.0dev)"]
-ipython = ["ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)"]
+ipython = ["bigquery-magics (>=0.1.0)"]
 ipywidgets = ["ipykernel (>=6.0.0)", "ipywidgets (>=7.7.0)"]
 opentelemetry = ["opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)"]
 pandas = ["db-dtypes (>=0.3.0,<2.0.0dev)", "importlib-metadata (>=1.0.0)", "pandas (>=1.1.0)", "pyarrow (>=3.0.0)"]
@@ -883,22 +892,23 @@ tqdm = ["tqdm (>=4.7.4,<5.0.0dev)"]
 
 [[package]]
 name = "google-cloud-bigquery-storage"
-version = "2.24.0"
+version = "2.27.0"
 description = "Google Cloud Bigquery Storage API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-bigquery-storage-2.24.0.tar.gz", hash = "sha256:b4af5b9aacd8396b8407d1b877601a376d8eea6d192823a8a7881bd2fdc076ce"},
-    {file = "google_cloud_bigquery_storage-2.24.0-py2.py3-none-any.whl", hash = "sha256:7981eb2758cba56603058d11bb1eeeebf2e1c18097a7118a894510a16e02be52"},
+    {file = "google_cloud_bigquery_storage-2.27.0-py2.py3-none-any.whl", hash = "sha256:3bfa8f74a61ceaffd3bfe90be5bbef440ad81c1c19ac9075188cccab34bffc2b"},
+    {file = "google_cloud_bigquery_storage-2.27.0.tar.gz", hash = "sha256:522faba9a68bea7e9857071c33fafce5ee520b7b175da00489017242ade8ec27"},
 ]
 
 [package.dependencies]
 google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
+google-auth = ">=2.14.1,<3.0.0dev"
 proto-plus = [
     {version = ">=1.22.0,<2.0.0dev", markers = "python_version < \"3.11\""},
     {version = ">=1.22.2,<2.0.0dev", markers = "python_version >= \"3.11\""},
 ]
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
+protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
 pyarrow = {version = ">=0.15.0", optional = true, markers = "extra == \"pyarrow\""}
 
 [package.extras]
@@ -926,118 +936,82 @@ grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
 
 [[package]]
 name = "google-cloud-secret-manager"
-version = "2.17.0"
+version = "2.22.0"
 description = "Google Cloud Secret Manager API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-secret-manager-2.17.0.tar.gz", hash = "sha256:8254e2960c06a8dc91aeac3c894afba0893a674582f0e0ecfc22f894e6173c2f"},
-    {file = "google_cloud_secret_manager-2.17.0-py2.py3-none-any.whl", hash = "sha256:2bf58be569710773f0757d7a788e2860767aa1c148a5255e53b228da3fbcf446"},
+    {file = "google_cloud_secret_manager-2.22.0-py2.py3-none-any.whl", hash = "sha256:9e23a8165ed718de56543723b1e21c394f2cee9ababddcac8ceecc9f427d2696"},
+    {file = "google_cloud_secret_manager-2.22.0.tar.gz", hash = "sha256:5dd95ac6243687f86fd803316c0768f507028958b8a2e69b3aa0ace7ac654bf4"},
 ]
 
 [package.dependencies]
-google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
+google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
+google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
 grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
-proto-plus = ">=1.22.3,<2.0.0dev"
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
+proto-plus = [
+    {version = ">=1.22.3,<2.0.0dev", markers = "python_version < \"3.13\""},
+    {version = ">=1.25.0,<2.0.0dev", markers = "python_version >= \"3.13\""},
+]
+protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
 
 [[package]]
 name = "google-cloud-storage"
-version = "2.14.0"
+version = "2.19.0"
 description = "Google Cloud Storage API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-storage-2.14.0.tar.gz", hash = "sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e"},
-    {file = "google_cloud_storage-2.14.0-py2.py3-none-any.whl", hash = "sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd"},
+    {file = "google_cloud_storage-2.19.0-py2.py3-none-any.whl", hash = "sha256:aeb971b5c29cf8ab98445082cbfe7b161a1f48ed275822f59ed3f1524ea54fba"},
+    {file = "google_cloud_storage-2.19.0.tar.gz", hash = "sha256:cd05e9e7191ba6cb68934d8eb76054d9be4562aa89dbc4236feee4d7d51342b2"},
 ]
 
 [package.dependencies]
-google-api-core = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0dev"
-google-auth = ">=2.23.3,<3.0dev"
+google-api-core = ">=2.15.0,<3.0.0dev"
+google-auth = ">=2.26.1,<3.0dev"
 google-cloud-core = ">=2.3.0,<3.0dev"
 google-crc32c = ">=1.0,<2.0dev"
-google-resumable-media = ">=2.6.0"
+google-resumable-media = ">=2.7.2"
 requests = ">=2.18.0,<3.0.0dev"
 
 [package.extras]
-protobuf = ["protobuf (<5.0.0dev)"]
+protobuf = ["protobuf (<6.0.0dev)"]
+tracing = ["opentelemetry-api (>=1.1.0)"]
 
 [[package]]
 name = "google-crc32c"
-version = "1.5.0"
+version = "1.6.0"
 description = "A python wrapper of the C library 'Google CRC32C'"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 files = [
-    {file = "google-crc32c-1.5.0.tar.gz", hash = "sha256:89284716bc6a5a415d4eaa11b1726d2d60a0cd12aadf5439828353662ede9dd7"},
-    {file = "google_crc32c-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:596d1f98fc70232fcb6590c439f43b350cb762fb5d61ce7b0e9db4539654cc13"},
-    {file = "google_crc32c-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:be82c3c8cfb15b30f36768797a640e800513793d6ae1724aaaafe5bf86f8f346"},
-    {file = "google_crc32c-1.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:461665ff58895f508e2866824a47bdee72497b091c730071f2b7575d5762ab65"},
-    {file = "google_crc32c-1.5.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e2096eddb4e7c7bdae4bd69ad364e55e07b8316653234a56552d9c988bd2d61b"},
-    {file = "google_crc32c-1.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:116a7c3c616dd14a3de8c64a965828b197e5f2d121fedd2f8c5585c547e87b02"},
-    {file = "google_crc32c-1.5.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:5829b792bf5822fd0a6f6eb34c5f81dd074f01d570ed7f36aa101d6fc7a0a6e4"},
-    {file = "google_crc32c-1.5.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:64e52e2b3970bd891309c113b54cf0e4384762c934d5ae56e283f9a0afcd953e"},
-    {file = "google_crc32c-1.5.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:02ebb8bf46c13e36998aeaad1de9b48f4caf545e91d14041270d9dca767b780c"},
-    {file = "google_crc32c-1.5.0-cp310-cp310-win32.whl", hash = "sha256:2e920d506ec85eb4ba50cd4228c2bec05642894d4c73c59b3a2fe20346bd00ee"},
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@@ -1060,13 +1034,13 @@ pyspark = ">=3.2.0"
 
 [[package]]
 name = "google-resumable-media"
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 description = "Utilities for Google Media Downloads and Resumable Uploads"
 optional = false
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 [package.dependencies]
@@ -1078,129 +1052,162 @@ requests = ["requests (>=2.18.0,<3.0.0dev)"]
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.62.0"
+version = "1.66.0"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
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 [package.extras]
 grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
+[[package]]
+name = "graphdatascience"
+version = "1.13"
+description = "A Python client for the Neo4j Graph Data Science (GDS) library"
+optional = false
+python-versions = ">=3.9"
+files = []
+develop = false
+
+[package.dependencies]
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+pandas = ">=1.0,<3.0"
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+requests = "*"
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+textdistance = ">=4.0,<5.0"
+tqdm = ">=4.0,<5.0"
+typing-extensions = ">=4.0,<5.0"
+
+[package.extras]
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+ogb = ["ogb (>=1.0,<2.0)"]
+rust-ext = ["neo4j-rust-ext (>=4.4.12,<6.0)"]
+
+[package.source]
+type = "git"
+url = "https://github.com/neo4j/graph-data-science-client"
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+resolved_reference = "083f363ecdaf6b0c2a16f80255dc9450df0210c7"
+
 [[package]]
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 description = "IAM API client library"
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 python-versions = ">=3.7"
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 [package.dependencies]
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 [[package]]
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 version = "6.11.0"
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-spss = ["pyreadstat (>=1.1.5)"]
-sql-other = ["SQLAlchemy (>=1.4.36)"]
+excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"]
+feather = ["pyarrow (>=10.0.1)"]
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+gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"]
+hdf5 = ["tables (>=3.8.0)"]
+html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"]
+mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"]
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+plot = ["matplotlib (>=3.6.3)"]
+postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"]
+pyarrow = ["pyarrow (>=10.0.1)"]
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 test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
-xml = ["lxml (>=4.8.0)"]
+xml = ["lxml (>=4.9.2)"]
 
 [[package]]
 name = "pathspec"
@@ -1651,13 +1703,13 @@ files = [
 
 [[package]]
 name = "pbr"
-version = "6.0.0"
+version = "6.1.0"
 description = "Python Build Reasonableness"
 optional = false
 python-versions = ">=2.6"
 files = [
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 ]
 
 [[package]]
@@ -1676,28 +1728,29 @@ flake8 = ">=5.0.0"
 
 [[package]]
 name = "platformdirs"
-version = "4.1.0"
-description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+version = "4.3.6"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
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-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]
+docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"]
+type = ["mypy (>=1.11.2)"]
 
 [[package]]
 name = "pluggy"
-version = "1.3.0"
+version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1706,13 +1759,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pre-commit"
-version = "3.6.0"
+version = "3.8.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -1722,41 +1775,132 @@ nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
 virtualenv = ">=20.10.0"
 
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-[package.dependencies]
-numpy = ">=1.16.6"
+[package.extras]
+test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
 
 [[package]]
 name = "pyasn1"
-version = "0.5.1"
+version = "0.6.1"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
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 files = [
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 name = "pyasn1-modules"
-version = "0.3.0"
+version = "0.4.1"
 description = "A collection of ASN.1-based protocols modules"
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+python-versions = ">=3.8"
 files = [
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 [package.dependencies]
-pyasn1 = ">=0.4.6,<0.6.0"
+pyasn1 = ">=0.4.6,<0.7.0"
 
 [[package]]
 name = "pycodestyle"
@@ -1884,48 +2034,47 @@ files = [
 
 [[package]]
 name = "pygments"
-version = "2.17.2"
+version = "2.18.0"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
-plugins = ["importlib-metadata"]
 windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pyspark"
-version = "3.5.0"
+version = "3.5.4"
 description = "Apache Spark Python API"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 [package.extras]
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-sql = ["numpy (>=1.15)", "pandas (>=1.0.5)", "pyarrow (>=4.0.0)"]
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+ml = ["numpy (>=1.15,<2)"]
+mllib = ["numpy (>=1.15,<2)"]
+pandas-on-spark = ["numpy (>=1.15,<2)", "pandas (>=1.0.5)", "pyarrow (>=4.0.0)"]
+sql = ["numpy (>=1.15,<2)", "pandas (>=1.0.5)", "pyarrow (>=4.0.0)"]
 
 [[package]]
 name = "pytest"
-version = "7.4.3"
+version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1939,15 +2088,29 @@ tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
 [package.extras]
 testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
 
+[[package]]
+name = "pytest-flakefinder"
+version = "1.1.0"
+description = "Runs tests multiple times to expose flakiness."
+optional = false
+python-versions = ">=3.5"
+files = [
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+]
+
+[package.dependencies]
+pytest = ">=2.7.1"
+
 [[package]]
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-version = "2.8.2"
+version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1955,106 +2118,113 @@ six = ">=1.5"
 
 [[package]]
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+version = "2024.2"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
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 name = "pywin32"
-version = "306"
+version = "308"
 description = "Python for Window Extensions"
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 python-versions = "*"
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 ]
 
 [[package]]
 name = "requests"
-version = "2.31.0"
+version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
 ]
 
 [package.dependencies]
@@ -2069,13 +2239,13 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "requests-oauthlib"
-version = "1.3.1"
+version = "2.0.0"
 description = "OAuthlib authentication support for Requests."
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.4"
 files = [
-    {file = "requests-oauthlib-1.3.1.tar.gz", hash = "sha256:75beac4a47881eeb94d5ea5d6ad31ef88856affe2332b9aafb52c6452ccf0d7a"},
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+    {file = "requests-oauthlib-2.0.0.tar.gz", hash = "sha256:b3dffaebd884d8cd778494369603a9e7b58d29111bf6b41bdc2dcd87203af4e9"},
+    {file = "requests_oauthlib-2.0.0-py2.py3-none-any.whl", hash = "sha256:7dd8a5c40426b779b0868c404bdef9768deccf22749cde15852df527e6269b36"},
 ]
 
 [package.dependencies]
@@ -2087,18 +2257,19 @@ rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
 
 [[package]]
 name = "rich"
-version = "13.7.0"
+version = "13.9.4"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
 files = [
-    {file = "rich-13.7.0-py3-none-any.whl", hash = "sha256:6da14c108c4866ee9520bbffa71f6fe3962e193b7da68720583850cd4548e235"},
-    {file = "rich-13.7.0.tar.gz", hash = "sha256:5cb5123b5cf9ee70584244246816e9114227e0b98ad9176eede6ad54bf5403fa"},
+    {file = "rich-13.9.4-py3-none-any.whl", hash = "sha256:6049d5e6ec054bf2779ab3358186963bac2ea89175919d699e378b99738c2a90"},
+    {file = "rich-13.9.4.tar.gz", hash = "sha256:439594978a49a09530cff7ebc4b5c7103ef57baf48d5ea3184f21d9a2befa098"},
 ]
 
 [package.dependencies]
 markdown-it-py = ">=2.2.0"
 pygments = ">=2.13.0,<3.0.0"
+typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
@@ -2117,42 +2288,15 @@ files = [
 [package.dependencies]
 pyasn1 = ">=0.1.3"
 
-[[package]]
-name = "setuptools"
-version = "69.0.2"
-description = "Easily download, build, install, upgrade, and uninstall Python packages"
-optional = false
-python-versions = ">=3.8"
-files = [
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-
-[package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
-testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
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-
 [[package]]
 name = "six"
-version = "1.16.0"
+version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
-files = [
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-
-[[package]]
-name = "smmap"
-version = "5.0.1"
-description = "A pure Python implementation of a sliding window memory map manager"
-optional = false
-python-versions = ">=3.7"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
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 ]
 
 [[package]]
@@ -2168,17 +2312,32 @@ files = [
 
 [[package]]
 name = "stevedore"
-version = "5.1.0"
+version = "5.4.0"
 description = "Manage dynamic plugins for Python applications"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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+    {file = "stevedore-5.4.0.tar.gz", hash = "sha256:79e92235ecb828fe952b6b8b0c6c87863248631922c8e8e0fa5b17b232c4514d"},
 ]
 
 [package.dependencies]
-pbr = ">=2.0.0,<2.1.0 || >2.1.0"
+pbr = ">=2.0.0"
+
+[[package]]
+name = "tenacity"
+version = "9.0.0"
+description = "Retry code until it succeeds"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "tenacity-9.0.0.tar.gz", hash = "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b"},
+]
+
+[package.extras]
+doc = ["reno", "sphinx"]
+test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
 [[package]]
 name = "testcontainers"
@@ -2213,75 +2372,153 @@ rabbitmq = ["pika"]
 redis = ["redis"]
 selenium = ["selenium"]
 
+[[package]]
+name = "textdistance"
+version = "4.6.3"
+description = "Compute distance between the two texts."
+optional = false
+python-versions = ">=3.5"
+files = [
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+    {file = "textdistance-4.6.3.tar.gz", hash = "sha256:d6dabc50b4ea832cdcf0e1e6021bd0c7fcd9ade155888d79bb6a3c31fce2dc6f"},
+]
+
+[package.extras]
+all = ["Levenshtein", "distance", "jellyfish", "numpy", "py-stringmatching", "pylev", "pyxDamerauLevenshtein", "rapidfuzz (>=2.6.0)", "tabulate"]
+benchmark = ["Levenshtein", "distance", "jellyfish", "numpy", "py-stringmatching", "pylev", "pyxDamerauLevenshtein", "rapidfuzz (>=2.6.0)", "tabulate"]
+benchmarks = ["Levenshtein", "distance", "jellyfish", "numpy", "py-stringmatching", "pylev", "pyxDamerauLevenshtein", "rapidfuzz (>=2.6.0)", "tabulate"]
+common = ["Levenshtein", "jellyfish", "numpy", "pyxDamerauLevenshtein", "rapidfuzz (>=2.6.0)"]
+dameraulevenshtein = ["jellyfish", "pyxDamerauLevenshtein", "rapidfuzz (>=2.6.0)"]
+extra = ["Levenshtein", "jellyfish", "numpy", "pyxDamerauLevenshtein", "rapidfuzz (>=2.6.0)"]
+extras = ["Levenshtein", "jellyfish", "numpy", "pyxDamerauLevenshtein", "rapidfuzz (>=2.6.0)"]
+hamming = ["Levenshtein", "distance", "jellyfish", "rapidfuzz (>=2.6.0)"]
+jaro = ["Levenshtein", "rapidfuzz (>=2.6.0)"]
+jarowinkler = ["jellyfish", "rapidfuzz (>=2.6.0)"]
+levenshtein = ["Levenshtein", "rapidfuzz (>=2.6.0)"]
+lint = ["flake8", "flake8-blind-except", "flake8-bugbear", "flake8-commas", "flake8-logging-format", "flake8-mutable", "flake8-pep3101", "flake8-quotes", "flake8-string-format", "flake8-tidy-imports", "isort", "mypy", "pep8-naming", "twine", "types-tabulate"]
+test = ["hypothesis", "isort", "numpy", "pytest"]
+
 [[package]]
 name = "tomli"
-version = "2.0.1"
+version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "yarl-1.18.3.tar.gz", hash = "sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1"},
 ]
 
 [package.dependencies]
 idna = ">=2.0"
 multidict = ">=4.0"
+propcache = ">=0.2.0"
 
 [[package]]
 name = "zipp"
-version = "3.17.0"
+version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
-    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
+    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
+    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9, <4"
-content-hash = "75acc319c6326140425005ef67ccc276141cc0145edcbfbe11bba2afe9893ba4"
+content-hash = "9683d7aa05a91e10154d6b63c851434229fe176a86eab19a3d0531c2abaf758b"
diff --git a/pyproject.toml b/pyproject.toml
index b6ae03e..29f5f9d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -15,7 +15,7 @@ antlr4-python3-runtime = "^4.13.1"
 fsspec = { extras = ["gcs"], version = "^2023.10.0" }
 neo4j = ">=5"
 importlib-metadata = "^6.8.0"
-neo4j-arrow = {git = "https://github.com/neo4j-field/neo4j_arrow.git", rev = "0.6.1"}
+graphdatascience = {git = "https://github.com/neo4j/graph-data-science-client", tag = "1.13"}
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.4.3"
@@ -35,6 +35,7 @@ flake8-bandit = "^4.1.1"
 types-protobuf = "^4.24.0.4"
 testcontainers = "^3.7.1"
 pandas = "^2.1.4"
+pytest-flakefinder = "^1.1.0"
 
 [build-system]
 requires = ["poetry-core"]
diff --git a/src/templates/bigquery.py b/src/templates/bigquery.py
index 60ad652..1036a18 100644
--- a/src/templates/bigquery.py
+++ b/src/templates/bigquery.py
@@ -3,27 +3,7 @@
 import argparse
 import logging
 import sys
-import typing
-
-import neo4j
-import neo4j.exceptions
-
 import time
-
-from dataproc_templates import BaseTemplate
-
-import pyarrow as pa
-from google.protobuf import descriptor_pb2
-from pyspark.sql import SparkSession
-
-import neo4j_arrow as na
-
-import pattern_parser
-from .bq_client import BigQuerySource, BigQuerySink, BQStream
-from . import constants as c, util
-
-from model import Node, Edge, arrow_to_nodes, arrow_to_edges
-
 from typing import (
     Any,
     Callable,
@@ -38,15 +18,43 @@
     cast,
 )
 
+import neo4j
+import neo4j.exceptions
+import pyarrow as pa
+from dataproc_templates import BaseTemplate
+from google.protobuf import descriptor_pb2
+from graphdatascience.query_runner import gds_arrow_client
+from graphdatascience.query_runner.gds_arrow_client import GdsArrowClient
+from pandas import DataFrame
+from pyarrow import Table, RecordBatch
+from pyspark.sql import SparkSession
+
+import pattern_parser
+from model import Edge, Node, arrow_to_nodes, arrow_to_edges
+from . import constants as c, util
+from .bq_client import BigQuerySource, BigQuerySink, BQStream
+from .mapper import node_mapper, edge_mapper, MappingFn
+from .model import Graph
+
 __all__ = [
     "BigQueryToNeo4jGDSTemplate",
     "Neo4jGDSToBigQueryTemplate",
 ]
 
 Arrow = Union[pa.Table, pa.RecordBatch]
+ArrowData = Union[pa.Table,  Iterable[pa.RecordBatch]]
+DataStream = Generator[Arrow, None, None]
+
 
+class ProgressTracker:
+    def __init__(self):
+        self.progress = 0
 
-def load_model_from_gcs(uri: str) -> Optional[na.model.Graph]:
+    def callback(self, progress: int) -> None:
+        self.progress = progress
+
+
+def load_model_from_gcs(uri: str) -> Optional[Graph]:
     """
     Attempt to load a Graph model from a GCS uri. Returns None on failure.
     """
@@ -54,58 +62,81 @@ def load_model_from_gcs(uri: str) -> Optional[na.model.Graph]:
         import fsspec
 
         with fsspec.open(uri, "rt") as f:
-            return na.model.Graph.from_json(f.read())
+            return Graph.from_json(f.read())
     except Exception:
         return None
 
 
 def flatten(
-    lists: List[List[Any]], fn: Optional[Callable[[Any], Any]] = None
+        lists: List[List[Any]], fn: Optional[Callable[[Any], Any]] = None
 ) -> List[Any]:
     """
     Flatten a list of lists, applying an optional function (fn) to the initial
     list of lists.
     """
     if not fn:
-
         def fn(x: Any) -> Any:
             return x
 
     return [x for y in map(fn, lists) for x in y]
 
 
+def map_tables(model: Graph, entity_type: str) -> Callable[[DataStream], List[ArrowData]]:
+    def _map_entity(table: Arrow, mapper: MappingFn):
+        if not table:
+            raise Exception("empty iterable of record batches provided")
+        mapped_table = mapper(table)
+        if isinstance(table, RecordBatch):
+            mapped_table = [mapped_table]
+        return mapped_table
+
+    def _map_arrow_tables(table: DataStream) -> List[ArrowData]:
+        source_field = "_table"
+        if entity_type == "NODE":
+            mapper = node_mapper(model, source_field)
+        else:
+            mapper = edge_mapper(model, source_field)
+
+        mapped_tables = [_map_entity(t, mapper) for t in table]
+        return mapped_tables
+
+    return _map_arrow_tables
+
+
 def send_nodes(
-    client: na.Neo4jArrowClient,
-    model: Optional[na.model.Graph] = None,
-    source_field: str = "_table",
-) -> Callable[[Any], Tuple[int, int]]:
+        client: GdsArrowClient,
+        model: Optional[Graph] = None,
+) -> Callable[[ArrowData], int]:
     """
     Wrap the given client, model, and (optional) source_field in a function that
     streams PyArrow data (Table or RecordBatch) to Neo4j as nodes.
     """
 
-    def _send_nodes(table: Any) -> Tuple[int, int]:
-        result: Tuple[int, int] = client.write_nodes(table, model, source_field)
-        return result
+    def _send_nodes_gds(table: ArrowData) -> int:
+        nodes_progress = ProgressTracker()
 
-    return _send_nodes
+        client.upload_nodes(model.name, table, progress_callback=nodes_progress.callback)
+        return nodes_progress.progress
+
+    return _send_nodes_gds
 
 
 def send_edges(
-    client: na.Neo4jArrowClient,
-    model: Optional[na.model.Graph] = None,
-    source_field: str = "_table",
-) -> Callable[[Any], Tuple[int, int]]:
+        client: GdsArrowClient,
+        model: Optional[Graph] = None,
+) -> Callable[[ArrowData], int]:
     """
     Wrap the given client, model, and (optional) source_field in a function that
     streams PyArrow data (Table or RecordBatch) to Neo4j as relationships.
     """
 
-    def _send_nodes(table: Any) -> Tuple[int, int]:
-        result: Tuple[int, int] = client.write_edges(table, model, source_field)
-        return result
+    def _send_edges_gds(table: ArrowData) -> int:
+        edge_progress = ProgressTracker()
+
+        client.upload_relationships(model.name, table, progress_callback=edge_progress.callback)
+        return edge_progress.progress
 
-    return _send_nodes
+    return _send_edges_gds
 
 
 def tuple_sum(a: Tuple[int, int], b: Tuple[int, int]) -> Tuple[int, int]:
@@ -116,7 +147,7 @@ def tuple_sum(a: Tuple[int, int], b: Tuple[int, int]) -> Tuple[int, int]:
 
 
 def node_to_stream_fn(
-    bq: BigQuerySource, graph: na.model.Graph
+        bq: BigQuerySource, graph: Graph
 ) -> Callable[[str], List[BQStream]]:
     """
     Create a function that generates BigQuery streams with optional field
@@ -139,7 +170,7 @@ def _node_to_stream(table_name: str) -> List[BQStream]:
 
 
 def edge_to_stream_fn(
-    bq: BigQuerySource, graph: na.model.Graph
+        bq: BigQuerySource, graph: Graph
 ) -> Callable[[str], List[BQStream]]:
     """
     Create a function that generates BigQuery streams with optional field
@@ -164,7 +195,7 @@ def _edge_to_stream(table_name: str) -> List[BQStream]:
 
 
 def convert_batch_fun(
-    converter: Callable[[Arrow], Generator[Any, None, None]]
+        converter: Callable[[Arrow], Generator[Any, None, None]]
 ) -> Callable[[Arrow], List[bytes]]:
     def _convert_batch(arrow: Arrow) -> List[bytes]:
         batch: List[bytes] = []
@@ -176,50 +207,60 @@ def _convert_batch(arrow: Arrow) -> List[bytes]:
 
 
 def read_nodes(
-    client: na.Neo4jArrowClient, pattern: pattern_parser.NodePattern
-) -> Iterable[pa.RecordBatch]:
-    def _add_labels_column(batch: pa.RecordBatch, label: str) -> pa.RecordBatch:
-        if not batch.field("labels"):
-            labels_col = pa.array(
-                [[label]] * batch.num_rows, pa.large_list(pa.string())
-            )
-            new_schema = batch.schema.append(pa.field("labels", labels_col.type))
-            return pa.RecordBatch.from_arrays(
-                batch.columns + [labels_col], schema=new_schema
-            )
-
-        return batch
-
-    batches: Iterable[pa.RecordBatch] = client.read_nodes(
-        pattern.properties, labels=[pattern.label]
+        client: GdsArrowClient, pattern: pattern_parser.NodePattern, graph_name: str, database: str
+) -> pa.RecordBatch:
+    labels = pattern.label
+    properties = pattern.properties
+
+    dataframe: DataFrame = client.get_node_properties(
+        graph_name,
+        database,
+        properties if properties is not None else [],
+        labels if labels is not None else ["*"],
+        True,
     )
-    return [_add_labels_column(batch, pattern.label) for batch in batches]
+    if 'labels' not in dataframe.columns:
+        dataframe['labels'] = pattern.label
+
+    return pa.RecordBatch.from_pandas(df=dataframe)
 
 
 def read_edges(
-    client: na.Neo4jArrowClient, pattern: pattern_parser.EdgePattern
-) -> Iterable[pa.RecordBatch]:
-    def _add_type_column(
-        batch: pa.RecordBatch, relationship_type: str
-    ) -> pa.RecordBatch:
-        type_col = pa.array([relationship_type] * batch.num_rows, pa.string())
-        new_schema = batch.schema.append(pa.field("type", type_col.type))
-        return pa.RecordBatch.from_arrays(batch.columns + [type_col], schema=new_schema)
-
-    batches = client.read_edges(
-        properties=pattern.properties, relationship_types=[pattern.type]
-    )
-    return [_add_type_column(batch, pattern.type) for batch in batches]
+        client: GdsArrowClient, pattern: pattern_parser.EdgePattern, graph_name: str, database: str
+) -> pa.RecordBatch:
+    properties = pattern.properties
+
+    relationship_types = pattern.type if pattern.type is not None else ["*"]
+    if properties:
+        dataframe: DataFrame = client.get_relationship_properties(
+            graph_name,
+            database,
+            properties,
+            relationship_types,
+        )
+    else:
+        dataframe: DataFrame = client.get_relationships(
+            graph_name,
+            database,
+            relationship_types,
+        )
+
+    if 'type' not in dataframe.columns:
+        dataframe['type'] = pattern.type
+
+    return pa.RecordBatch.from_pandas(df=dataframe)
 
 
 def read_by_pattern_fun(
-    client: na.Neo4jArrowClient,
-) -> Callable[[pattern_parser.Pattern], Iterable[pa.RecordBatch]]:
-    def _read_by_pattern(pattern: pattern_parser.Pattern) -> Iterable[pa.RecordBatch]:
+        client: GdsArrowClient,
+        graph_name: str,
+        database: str,
+) -> Callable[[pattern_parser.Pattern], pa.RecordBatch]:
+    def _read_by_pattern(pattern: pattern_parser.Pattern) -> pa.RecordBatch:
         if isinstance(pattern, pattern_parser.NodePattern):
-            return read_nodes(client, pattern)
+            return read_nodes(client, pattern, graph_name, database)
         elif isinstance(pattern, pattern_parser.EdgePattern):
-            return read_edges(client, pattern)
+            return read_edges(client, pattern, graph_name, database)
         else:
             raise ValueError(
                 f"expected an instance of Pattern, but got {pattern.__class__.__name__}"
@@ -229,7 +270,7 @@ def _read_by_pattern(pattern: pattern_parser.Pattern) -> Iterable[pa.RecordBatch
 
 
 def append_batch_fun(
-    sink_factory: Callable[[], BigQuerySink],
+        sink_factory: Callable[[], BigQuerySink],
 ) -> Callable[[Iterable[List[bytes]]], Iterable[Tuple[str, int]]]:
     def append_batch(batches: Iterable[List[bytes]]) -> Iterable[Tuple[str, int]]:
         sink = sink_factory()
@@ -246,12 +287,12 @@ def append_batch(batches: Iterable[List[bytes]]) -> Iterable[Tuple[str, int]]:
     return append_batch
 
 
-def load_graph(args: Dict[str, Any]) -> na.model.Graph:
+def load_graph(args: Dict[str, Any]) -> Graph:
     # 1. Load the Graph Model.
     if args[c.NEO4J_GRAPH_JSON]:
         # Try loading a literal JSON-based model
         json_str = args[c.NEO4J_GRAPH_JSON]
-        graph = na.model.Graph.from_json(json_str)
+        graph = Graph.from_json(json_str)
     elif args[c.NEO4J_GRAPH_JSON_URI]:
         # Fall back to URI
         uri = args[c.NEO4J_GRAPH_JSON_URI]
@@ -291,21 +332,19 @@ def apply_secrets(args: Dict[str, Any], debug: bool, logger: logging.Logger) ->
         args.update(secret)
 
 
-def build_arrow_client(
-    graph: na.model.Graph,
-    neo4j_uri: str,
-    neo4j_username: str,
-    neo4j_password: str,
-    neo4j_concurrency: int,
-    *,
-    logger: Any = None,
-) -> na.Neo4jArrowClient:
+def build_gds_arrow_client(
+        neo4j_uri: str,
+        neo4j_username: str,
+        neo4j_password: str,
+        *,
+        logger: Any = None,
+) -> GdsArrowClient:
     neo4j_logger = logging.getLogger("neo4j")
     neo4j_logger.handlers.clear()
     neo4j_logger.addHandler(util.SparkLogHandler(logger))
 
     with neo4j.GraphDatabase.driver(
-        neo4j_uri, auth=neo4j.basic_auth(neo4j_username, neo4j_password)
+            neo4j_uri, auth=neo4j.basic_auth(neo4j_username, neo4j_password)
     ) as driver:
         try:
             record: Optional[neo4j.Record] = driver.execute_query(
@@ -322,31 +361,17 @@ def build_arrow_client(
                     raise Exception(
                         "Please ensure that Arrow Flights Service is running."
                     )
-                advertised_listen_address = str(record["advertisedListenAddress"])
                 listen_address = str(record["listenAddress"])
-                batch_size = int(record["batchSize"])
 
-                uri = advertised_listen_address
-                if not uri:
-                    uri = listen_address
+                host, port = listen_address.split(":")
 
-                arrow_logger = logging.getLogger("neo4j-arrow-client")
-                arrow_logger.handlers.clear()
-                arrow_logger.addHandler(util.SparkLogHandler(logger))
-
-                host, port = uri.split(":")
-                return na.Neo4jArrowClient(
-                    host,
-                    graph.name,
+                gds_client = gds_arrow_client.GdsArrowClient(
+                    host=host,
                     port=int(port),
-                    tls=driver.encrypted,
-                    database=graph.db,
-                    user=neo4j_username,
-                    password=neo4j_password,
-                    concurrency=neo4j_concurrency,
-                    max_chunk_size=batch_size,
-                    logger=arrow_logger,
+                    auth=(neo4j_username, neo4j_password),
+                    encrypted=driver.encrypted,
                 )
+                return gds_client
         except neo4j.exceptions.ClientError as e:
             if e.code != "Neo.ClientError.Procedure.ProcedureNotFound":
                 raise e
@@ -358,10 +383,10 @@ def build_arrow_client(
 
 
 def sink_fun(
-    project_id: str,
-    dataset: str,
-    table: str,
-    descriptor: descriptor_pb2.DescriptorProto,
+        project_id: str,
+        dataset: str,
+        table: str,
+        descriptor: descriptor_pb2.DescriptorProto,
 ) -> Callable[[], BigQuerySink]:
     def sink() -> BigQuerySink:
         return BigQuerySink(project_id, dataset, table, descriptor)
@@ -490,14 +515,14 @@ def run(self, spark: SparkSession, args: Dict[str, Any]) -> None:
             apply_secrets(args, args[c.DEBUG], logger)
 
         # 3. Initialize our clients for source and sink.
-        client = build_arrow_client(
-            na.model.Graph(name=graph_name, db=db_name),
+
+        client = build_gds_arrow_client(
             str(args[c.NEO4J_URI]),
             str(args[c.NEO4J_USER]),
             str(args[c.NEO4J_PASSWORD]),
-            int(args[c.NEO4J_CONCURRENCY]),
-            logger=logger,
+            logger=logger
         )
+
         logger.info(f"using neo4j client {client}")
 
         patterns: list[pattern_parser.Pattern] = args[c.NEO4J_PATTERNS]
@@ -510,14 +535,13 @@ def run(self, spark: SparkSession, args: Dict[str, Any]) -> None:
         start_time = time.time()
 
         def process_patterns(
-            filter_fun: Callable[[typing.Any], bool],
-            converter: Callable[[Arrow], Generator[Any, None, None]],
-            sink_factory: Callable[[], BigQuerySink],
+                filter_fun: Callable[[Any], bool],
+                converter: Callable[[Arrow], Generator[Any, None, None]],
+                sink_factory: Callable[[], BigQuerySink],
         ) -> Tuple[int, int]:
             results: List[Tuple[str, int]] = (
                 sc.parallelize([p for p in filter(filter_fun, patterns)])
-                .flatMap(read_by_pattern_fun(client))
-                .repartition(num_partitions)
+                .map(read_by_pattern_fun(client, graph_name, db_name))
                 .map(convert_batch_fun(converter))
                 .mapPartitions(append_batch_fun(sink_factory))
                 .collect()
@@ -646,7 +670,7 @@ def parse_args(args: Optional[Sequence[str]] = None) -> Dict[str, Any]:
             default=False,
             type=bool,
             help="Whether to force the creation of the graph, by aborting an existing import or the database, "
-            "by overwriting the existing data files.",
+                 "by overwriting the existing data files.",
         )
 
         # BigQuery Parameters
@@ -714,12 +738,14 @@ def run(self, spark: SparkSession, args: Dict[str, Any]) -> None:
             apply_secrets(args, debug, logger)
 
         # 2b. Initialize our clients for source and sink.
-        client = build_arrow_client(
-            graph,
+
+        graph_name = args[c.NEO4J_GRAPH_NAME]
+        db_name = args[c.NEO4J_DB_NAME]
+
+        client = build_gds_arrow_client(
             str(args[c.NEO4J_URI]),
             str(args[c.NEO4J_USER]),
             str(args[c.NEO4J_PASSWORD]),
-            int(args[c.NEO4J_CONCURRENCY]),
             logger=logger,
         )
         bq = BigQuerySource(args[c.BQ_PROJECT], args[c.BQ_DATASET])
@@ -746,66 +772,71 @@ def run(self, spark: SparkSession, args: Dict[str, Any]) -> None:
         # 4. Begin our Graph import.
         force = bool(args[c.NEO4J_FORCE])
         if str(args[c.NEO4J_ACTION]).lower() == "create_database":
-            result = client.start_create_database(force=force)
+            client.create_database(database=db_name, force=force)
         else:
-            result = client.start_create_graph(force=force)
+            client.create_graph(graph_name=graph_name, database=db_name)
 
-        logger.info(f"starting import for {result.get('name', graph.name)}")
+        logger.info(f"starting import for {graph_name}")
 
         # 5. Load our Nodes via PySpark workers.
         num_partitions = max(sc.defaultParallelism, args[c.NEO4J_CONCURRENCY])
         logger.info(f"using {num_partitions:,} partitions")
         nodes_start = time.time()
-        cnt, size = (
-            sc.parallelize(node_streams, num_partitions)
-            .map(bq.consume_stream, True)  # don't shuffle
-            .map(send_nodes(client, graph))
-            .reduce(tuple_sum)
-        )
+
+        nodes_count = (sc.parallelize(node_streams, num_partitions)
+                       .map(bq.consume_stream, True)
+                       .flatMap(map_tables(graph, "NODE"))
+                       .map(send_nodes(client, graph))
+                       .sum()
+                       )
+
         logger.info(
-            f"streamed {cnt:,} nodes, ~{size / (1 << 20):,.2f} MiB original size"
+            f"streamed {nodes_count} nodes"
         )
 
-        # 5b. Assert we actually got nodes
-        if cnt < 1:
+        # # 5b. Assert we actually got nodes
+        if nodes_count < 1:
             logger.error("failed to load nodes; aborting.")
             sys.exit(1)
 
         # 6. Signal we're done with Nodes before moving onto Edges.
-        result = client.nodes_done()
+        result = client.node_load_done(graph.name)
         duration = time.time() - nodes_start
-        total = result["node_count"]
+        total = result.node_count
         logger.info(
             f"signalled nodes complete, imported {total:,} nodes"
             f" in {duration:,.3f}s ({total / duration:,.2f} nodes/s)"
         )
-        if cnt != total:
-            logger.warning(f"sent {cnt} nodes, but imported {total}!")
+        if nodes_count != total:
+            logger.warning(f"sent {nodes_count} nodes, but imported {total}!")
 
         # 7. Now stream Edges via the PySpark workers.
         edges_start = time.time()
-        cnt, size = (
+        edges_count = (
             sc.parallelize(edge_streams, num_partitions)
             .map(bq.consume_stream, True)  # don't shuffle
+            .flatMap(map_tables(graph, "EDGE"))
             .map(send_edges(client, graph))
-            .reduce(tuple_sum)
+            .sum()
         )
+
         logger.info(
-            f"streamed {cnt:,} edges, ~{size / (1 << 20):,.2f} MiB original size"
+            f"streamed {edges_count} edges"
         )
 
         # 8. Signal we're done with Edges.
-        result = client.edges_done()
+        result = client.relationship_load_done(graph.name)
         duration = time.time() - edges_start
-        total = result["relationship_count"]
+        total = result.relationship_count
         logger.info(
             f"signalled edges complete, imported {total:,} edges"
             f" in {duration:,.3f}s ({total / duration:,.2f} edges/s)"
         )
-        if cnt != total:
-            logger.warning(f"sent {cnt} edges, but imported {total}!")
+        if edges_count != total:
+            logger.warning(f"sent {edges_count} edges, but imported {total}!")
 
         # 9. TODO: await import completion and GDS projection available
+
         duration = time.time() - start_time
         logger.info(f"completed in {duration:,.3f} seconds")
 
diff --git a/src/templates/mapper.py b/src/templates/mapper.py
new file mode 100644
index 0000000..1d4ef34
--- /dev/null
+++ b/src/templates/mapper.py
@@ -0,0 +1,88 @@
+from typing import Optional, Callable, Union, List, Tuple
+import pyarrow as pa
+
+from templates.model import Graph
+
+Arrow = Union[pa.Table, pa.RecordBatch]
+MappingFn = Callable[[Arrow], Arrow]
+
+
+def node_mapper(model: Graph, source_field: Optional[str] = None) -> MappingFn:
+    """
+    Generate a mapping function for a Node.
+    """
+
+    def _map(data: Arrow) -> Arrow:
+        schema = data.schema
+        if source_field:
+            src = schema.metadata.get(source_field.encode("utf8"))
+            node = model.node_for_src(src.decode("utf8"))
+        else:  # guess at labels
+            my_label = data["labels"][0].as_py()
+            node = model.node_by_label(my_label)
+        if not node:
+            raise Exception("cannot find matching node in model given " f"{data.schema}")
+
+        columns, fields = _rename_and_add_column([], [], data, node.key_field, "nodeId")
+        if node.label:
+            columns.append(pa.array([node.label] * len(data), pa.string()))
+            fields.append(pa.field("labels", pa.string()))
+        if node.label_field:
+            columns, fields = _rename_and_add_column(columns, fields, data, node.label_field, "labels")
+        for name in node.properties:
+            columns, fields = _rename_and_add_column(columns, fields, data, name, node.properties[name])
+
+        return data.from_arrays(columns, schema=pa.schema(fields))
+
+    return _map
+
+
+def edge_mapper(model: Graph, source_field: Optional[str] = None) -> MappingFn:
+    """
+    Generate a mapping function for an Edge.
+    """
+
+    def _map(data: Arrow) -> Arrow:
+        schema = data.schema
+        if source_field:
+            src = schema.metadata.get(source_field.encode("utf8"))
+            edge = model.edge_for_src(src.decode("utf8"))
+        else:  # guess at type
+            my_type = data["type"][0].as_py()
+            edge = model.edge_by_type(my_type)
+        if not edge:
+            raise Exception("cannot find matching edge in model given " f"{data.schema}")
+
+        columns, fields = _rename_and_add_column([], [], data, edge.source_field, "sourceNodeId")
+        columns, fields = _rename_and_add_column(columns, fields, data, edge.target_field, "targetNodeId")
+        if edge.type:
+            columns.append(pa.array([edge.type] * len(data), pa.string()))
+            fields.append(pa.field("relationshipType", pa.string()))
+        if edge.type_field:
+            columns, fields = _rename_and_add_column(columns, fields, data, edge.type_field, "relationshipType")
+        for name in edge.properties:
+            columns, fields = _rename_and_add_column(columns, fields, data, name, edge.properties[name])
+
+        return data.from_arrays(columns, schema=pa.schema(fields))
+
+    return _map
+
+
+def nop_mapper(data: Arrow) -> Arrow:
+    """
+    Used as a no-op mapping function.
+    """
+    return data
+
+
+def _rename_and_add_column(
+        columns: List[Union[pa.Array, pa.ChunkedArray]],
+        fields: List[pa.Field],
+        data: Arrow,
+        current_name: str,
+        new_name: str,
+) -> Tuple[List[Union[pa.Array, pa.ChunkedArray]], List[pa.Field]]:
+    idx = data.schema.get_field_index(current_name)
+    columns.append(data.columns[idx])
+    fields.append(data.schema.field(idx).with_name(new_name))
+    return columns, fields
diff --git a/src/templates/model.py b/src/templates/model.py
new file mode 100644
index 0000000..4cad79f
--- /dev/null
+++ b/src/templates/model.py
@@ -0,0 +1,301 @@
+"""
+--------------------------------------------------------------
+bigquery_connector.model: A graph model for mapping over source data.
+--------------------------------------------------------------
+"""
+from json import dumps, loads, JSONEncoder
+import re
+
+from typing import Any, Dict, Generic, List, Optional, Union, TypeVar
+
+
+class ValidationError(Exception):
+    def __init__(self, message: str):
+        self.message = message
+
+
+class _NodeEncoder(JSONEncoder):
+    def default(self, n: "Node") -> object:
+        return n.to_dict()
+
+
+class _EdgeEncoder(JSONEncoder):
+    def default(self, e: "Edge") -> object:
+        return e.to_dict()
+
+
+class _GraphEncoder(JSONEncoder):
+    def default(self, g: "Graph") -> object:
+        return g.to_dict()
+
+
+class Node:
+    def __init__(
+            self,
+            *,
+            source: str,
+            label: str = "",
+            label_field: str = "",
+            key_field: str,
+            properties: Optional[Dict[str, Any]] = None,
+            **kwargs: Any,
+    ):
+        self._source = source
+        self._label = label
+        self._label_field = label_field
+        self._key_field = key_field
+        self._properties = dict(properties or {}, **kwargs)
+        self._pattern: Optional[re.Pattern[str]] = None
+        try:
+            self._pattern = re.compile(self._source)
+        except Exception:
+            pass
+
+    @property
+    def source(self) -> str:
+        return self._source
+
+    @property
+    def label(self) -> str:
+        return self._label
+
+    @property
+    def key_field(self) -> str:
+        return self._key_field
+
+    @property
+    def label_field(self) -> str:
+        return self._label_field
+
+    @property
+    def properties(self) -> Dict[str, Any]:
+        return self._properties
+
+    def matches(self, s: str) -> bool:
+        if self._pattern:
+            return self._pattern.match(s) is not None
+        else:
+            return self._source == s
+
+    def to_dict(self) -> Dict[str, Any]:
+        return {
+            "source": self._source,
+            "label": self._label,
+            "label_field": self._label_field,
+            "key_field": self._key_field,
+            "properties": self._properties,
+        }
+
+    def validate(self) -> None:
+        if not self._source:
+            raise ValidationError(f"source must be provided in {self}")
+        if not self._key_field:
+            raise ValidationError(f"key_field must be provided in {self}")
+        if not self._label and not self._label_field:
+            raise ValidationError(f"either label or label_field must be provided in {self}")
+        if self._label and self._label_field:
+            raise ValidationError(f"use of label and label_field at the same time is not allowed " f"in {self}")
+
+    def __str__(self) -> str:
+        return str(self.to_dict())
+
+
+class Edge:
+    def __init__(
+            self,
+            *,
+            source: str,
+            edge_type: str = "",
+            type_field: str = "",
+            type: str = "",
+            source_field: str,
+            target_field: str,
+            properties: Optional[Dict[str, Any]] = None,
+            **kwargs: Any,
+    ):
+        self._source = source
+        self._type = edge_type
+        if not self._type and type:
+            self._type = type
+        self._type_field = type_field
+        self._source_field = source_field
+        self._target_field = target_field
+        self._properties = dict(properties or {}, **kwargs)
+        self._pattern: Optional[re.Pattern[str]] = None
+        try:
+            self._pattern = re.compile(source)
+        except ValueError:
+            pass
+        except TypeError:
+            pass
+
+    @property
+    def source(self) -> str:
+        return self._source
+
+    @property
+    def type(self) -> str:
+        return self._type
+
+    @property
+    def type_field(self) -> str:
+        return self._type_field
+
+    @property
+    def source_field(self) -> str:
+        return self._source_field
+
+    @property
+    def target_field(self) -> str:
+        return self._target_field
+
+    @property
+    def properties(self) -> Dict[str, Any]:
+        return self._properties
+
+    def matches(self, s: str) -> bool:
+        if self._pattern:
+            return self._pattern.match(s) is not None
+        else:
+            return self._source == s
+
+    def to_dict(self) -> Dict[str, Any]:
+        return {
+            "source": self.source,
+            "type": self._type,
+            "type_field": self._type_field,
+            "source_field": self._source_field,
+            "target_field": self._target_field,
+            "properties": self._properties,
+        }
+
+    def validate(self) -> None:
+        if not self._source:
+            raise ValidationError(f"source must be provided in {self}")
+        if not self._source_field:
+            raise ValidationError(f"source_field must be provided in {self}")
+        if not self._target_field:
+            raise ValidationError(f"target_field must be provided in {self}")
+        if not self._type_field and not self._type:
+            raise ValidationError(f"either type or type_field must be provided in {self}")
+        if self._type_field and self._type:
+            raise ValidationError(f"use of type and type_field at the same time is not allowed in {self}")
+
+    def __str__(self) -> str:
+        return str(self.to_dict())
+
+
+class Graph:
+    """
+    -------------------------------
+    A Graph model over source data.
+    -------------------------------
+
+    A Graph consists of:
+      * A name
+      * A db name (optional, default = "neo4j")
+      * A List of Nodes (optional, but should have at least 1)
+      * A List of Edges (optional, though boring if none!)
+    """
+
+    def __init__(self, *, name: str, db: str = "", nodes: List[Node] = [], edges: List[Edge] = []):
+        self.name = name
+        self.db = db
+        self.nodes = nodes
+        self.edges = edges
+
+    def named(self, name: str) -> "Graph":
+        return Graph(name=name, db=self.db, nodes=self.nodes, edges=self.edges)
+
+    def in_db(self, db: str) -> "Graph":
+        return Graph(name=self.name, db=db, nodes=self.nodes, edges=self.edges)
+
+    def with_nodes(self, nodes: List[Node]) -> "Graph":
+        return Graph(name=self.name, db=self.db, nodes=nodes, edges=self.edges)
+
+    def with_edges(self, edges: List[Edge]) -> "Graph":
+        return Graph(name=self.name, db=self.db, nodes=self.nodes, edges=edges)
+
+    def with_node(self, node: Node) -> "Graph":
+        return Graph(name=self.name, db=self.db, nodes=self.nodes + [node], edges=self.edges)
+
+    def with_edge(self, edge: Edge) -> "Graph":
+        return Graph(name=self.name, db=self.db, nodes=self.nodes, edges=self.edges + [edge])
+
+    def node_for_src(self, source: str) -> Union[None, Node]:
+        """Find a Node in a Graph based on matching source pattern."""
+        for node in self.nodes:
+            if node.matches(source):
+                return node
+        return None
+
+    def edge_for_src(self, source: str) -> Union[None, Edge]:
+        for edge in self.edges:
+            if edge.matches(source):
+                return edge
+        return None
+
+    def edge_by_type(self, _type: str) -> Union[None, Edge]:
+        for edge in self.edges:
+            if edge.type == _type:
+                return edge
+        return None
+
+    def node_by_label(self, label: str) -> Union[None, Node]:
+        for node in self.nodes:
+            if node.label == label:
+                return node
+        return None
+
+    def validate(self) -> None:
+        for node in self.nodes:
+            node.validate()
+        for edge in self.edges:
+            edge.validate()
+
+    @classmethod
+    def from_json(cls, json: str) -> "Graph":
+        obj = loads(json)
+        nodes = [
+            Node(
+                source=n["source"],
+                label=n.get("label", ""),
+                label_field=n.get("label_field", ""),
+                key_field=n["key_field"],
+                **n.get("properties", {}),
+            )
+            for n in obj.get("nodes", [])
+        ]
+        edges = [
+            Edge(
+                source=e["source"],
+                edge_type=e.get("type", ""),
+                type_field=e.get("type_field", ""),
+                source_field=e["source_field"],
+                target_field=e["target_field"],
+                **e.get("properties", {}),
+            )
+            for e in obj.get("edges", [])
+        ]
+        return Graph(name=obj["name"], db=obj.get("db", "neo4j"), nodes=nodes, edges=edges)
+
+    def to_dict(self) -> Dict[str, Any]:
+        return {
+            "name": self.name,
+            "db": self.db,
+            "nodes": [n.to_dict() for n in self.nodes],
+            "edges": [e.to_dict() for e in self.edges],
+        }
+
+    def to_json(self) -> str:
+        return dumps(self, cls=_GraphEncoder)
+
+    def __str__(self) -> str:
+        return str(self.to_dict())
+
+    def __eq__(self, other: Any) -> bool:
+        if not other:
+            return False
+        if not isinstance(other, Graph):
+            return False
+        return self.to_dict() == other.to_dict()
diff --git a/tests/integration/conftest.py b/tests/integration/conftest.py
index 026273b..4d0c721 100644
--- a/tests/integration/conftest.py
+++ b/tests/integration/conftest.py
@@ -9,9 +9,7 @@
 import pytest
 import testcontainers.neo4j
 
-import neo4j_arrow._client
 from google.cloud import bigquery
-from neo4j_arrow import Neo4jArrowClient
 
 user_count = 10
 user_id_base = 1000
@@ -193,24 +191,8 @@ def driver(neo4j):
     driver.close()
 
 
-@pytest.fixture(scope="module")
-def arrow_client_factory(neo4j, driver) -> Callable[[str], Neo4jArrowClient]:
-    def _arrow_client_factory(graph_name: str) -> Neo4jArrowClient:
-        return Neo4jArrowClient(
-            neo4j.get_container_host_ip(),
-            graph=graph_name,
-            user=neo4j.NEO4J_USER,
-            password=neo4j.NEO4J_ADMIN_PASSWORD,
-            port=int(neo4j.get_exposed_port(8491)),
-            tls=False,
-            proc_names=neo4j_arrow._client.procedure_names(gds_version(driver)),
-        )
-
-    return _arrow_client_factory
-
-
 @pytest.fixture(autouse=True)
-def setup(driver, arrow_client_factory):
+def setup(driver):
     with driver.session() as session:
         session.run("CREATE OR REPLACE DATABASE neo4j WAIT").consume()
 
diff --git a/tests/unit/templates/mapper_test.py b/tests/unit/templates/mapper_test.py
new file mode 100644
index 0000000..8dd2436
--- /dev/null
+++ b/tests/unit/templates/mapper_test.py
@@ -0,0 +1,71 @@
+from templates.mapper import node_mapper, nop_mapper, edge_mapper
+
+import pyarrow as pa
+
+from templates.model import Graph, Node, Edge
+
+
+def test_nop_mapper():
+    mapper = nop_mapper
+    t = pa.table({"labels": ["Junk"], "nodeId": ["junk_id"]})
+    result = mapper(t)
+    assert result is not None
+    assert "nodeId" in result.schema.names
+    assert "labels" in result.schema.names
+
+
+def test_node_mapper():
+    SRC_KEY = "gcs_source"
+    g = Graph(
+        name="junk",
+        nodes=[
+            Node(
+                source="gs://.*/junk.*parquet",
+                label_field="my_labels",
+                key_field="my_key",
+            )
+        ],
+    )
+    mapper = node_mapper(g, SRC_KEY)
+
+    src = "gs://bucket/folder/junk_0001.parquet"
+    t = pa.table({"my_labels": ["Junk"], "my_key": ["junk_id"]})
+    schema = t.schema.with_metadata({SRC_KEY: src})
+    table = pa.Table.from_arrays(t.columns, schema=schema)
+
+    result = mapper(table)
+    assert result is not None
+    assert "nodeId" in result.schema.names
+    assert "labels" in result.schema.names
+    assert "my_labels" not in result.schema.names
+    assert "my_key" not in result.schema.names
+
+
+def test_edge_mapper():
+    SRC_KEY = "gcs_source"
+    g = Graph(
+        name="junk",
+        edges=[
+            Edge(
+                source="gs://.*/junk.*parquet",
+                type_field="my_type",
+                source_field="my_src",
+                target_field="my_tgt",
+            )
+        ],
+    )
+    mapper = edge_mapper(g, SRC_KEY)
+
+    src = "gs://bucket/folder/junk_0001.parquet"
+    t = pa.table({"my_type": ["JUNK"], "my_src": ["junk_id"], "my_tgt": ["junk_id"]})
+    schema = t.schema.with_metadata({SRC_KEY: src})
+    table = pa.Table.from_arrays(t.columns, schema=schema)
+
+    result = mapper(table)
+    assert result is not None
+    assert "relationshipType" in result.schema.names
+    assert "sourceNodeId" in result.schema.names
+    assert "targetNodeId" in result.schema.names
+    assert "my_type" not in result.schema.names
+    assert "my_src" not in result.schema.names
+    assert "my_tgt" not in result.schema.names