Spaces:
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finalizing top level metadata; storing things in vectorstore
Browse files- api/data/vectorstore_singleton.py +11 -0
- api/poetry.lock +810 -2
- api/pyproject.toml +4 -0
- api/scripts/model_games.py +46 -0
- api/scripts/model_player.py +17 -1
- api/scripts/model_teams.py +70 -0
- api/scripts/vectorstore_load.py +57 -0
- api/scripts/vectorstore_search.py +16 -0
- api/tools/__init__.py +5 -0
- api/tools/game_search.py +42 -0
- api/tools/player_search.py +33 -0
api/data/vectorstore_singleton.py
ADDED
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@@ -0,0 +1,11 @@
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from functools import lru_cache
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from langchain_openai import OpenAIEmbeddings
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from langchain_core.vectorstores import InMemoryVectorStore
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@lru_cache(maxsize=1)
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def get_vector_store():
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embeddings = OpenAIEmbeddings(model="text-embedding-3-large")
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return InMemoryVectorStore.load(
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"/code/data/vectorstore.json", embedding=embeddings
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)
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api/poetry.lock
CHANGED
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@@ -60,6 +60,189 @@ files = [
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{file = "certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651"},
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]
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| 63 |
[[package]]
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name = "click"
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| 65 |
version = "8.1.8"
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{file = "jiter-0.9.0.tar.gz", hash = "sha256:aadba0964deb424daa24492abc3d229c60c4a31bfee205aedbf1acc7639d7893"},
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| 388 |
[[package]]
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| 389 |
name = "openai"
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| 390 |
version = "1.77.0"
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|
@@ -412,13 +758,96 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
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| 412 |
realtime = ["websockets (>=13,<16)"]
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| 413 |
voice-helpers = ["numpy (>=2.0.2)", "sounddevice (>=0.5.1)"]
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| 415 |
[[package]]
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| 416 |
name = "packaging"
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| 417 |
version = "24.2"
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| 418 |
description = "Core utilities for Python packages"
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| 419 |
optional = false
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| 420 |
python-versions = ">=3.8"
|
| 421 |
-
groups = ["dev"]
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| 422 |
files = [
|
| 423 |
{file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
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| 424 |
{file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
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dev = ["pre-commit", "tox"]
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testing = ["pytest", "pytest-benchmark"]
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[[package]]
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name = "pydantic"
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version = "2.11.3"
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[package.extras]
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cli = ["click (>=5.0)"]
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[[package]]
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| 614 |
name = "pyyaml"
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version = "6.0.2"
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@@ -673,6 +1133,147 @@ files = [
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| 673 |
{file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"},
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]
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| 676 |
[[package]]
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| 677 |
name = "sniffio"
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| 678 |
version = "1.3.1"
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|
@@ -703,6 +1304,82 @@ anyio = ">=3.6.2,<5"
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| 703 |
[package.extras]
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| 704 |
full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"]
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| 705 |
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| 706 |
[[package]]
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name = "tqdm"
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version = "4.67.1"
|
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@@ -752,6 +1429,24 @@ files = [
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[package.dependencies]
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| 753 |
typing-extensions = ">=4.12.0"
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| 754 |
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| 755 |
[[package]]
|
| 756 |
name = "uvicorn"
|
| 757 |
version = "0.34.0"
|
|
@@ -994,7 +1689,120 @@ files = [
|
|
| 994 |
{file = "websockets-15.0.1.tar.gz", hash = "sha256:82544de02076bafba038ce055ee6412d68da13ab47f0c60cab827346de828dee"},
|
| 995 |
]
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| 996 |
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| 997 |
[metadata]
|
| 998 |
lock-version = "2.1"
|
| 999 |
python-versions = "^3.12"
|
| 1000 |
-
content-hash = "
|
|
|
|
| 60 |
{file = "certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651"},
|
| 61 |
]
|
| 62 |
|
| 63 |
+
[[package]]
|
| 64 |
+
name = "cffi"
|
| 65 |
+
version = "1.17.1"
|
| 66 |
+
description = "Foreign Function Interface for Python calling C code."
|
| 67 |
+
optional = false
|
| 68 |
+
python-versions = ">=3.8"
|
| 69 |
+
groups = ["main"]
|
| 70 |
+
markers = "platform_python_implementation == \"PyPy\""
|
| 71 |
+
files = [
|
| 72 |
+
{file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
|
| 73 |
+
{file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
|
| 74 |
+
{file = "cffi-1.17.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:edae79245293e15384b51f88b00613ba9f7198016a5948b5dddf4917d4d26382"},
|
| 75 |
+
{file = "cffi-1.17.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:45398b671ac6d70e67da8e4224a065cec6a93541bb7aebe1b198a61b58c7b702"},
|
| 76 |
+
{file = "cffi-1.17.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ad9413ccdeda48c5afdae7e4fa2192157e991ff761e7ab8fdd8926f40b160cc3"},
|
| 77 |
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{file = "cffi-1.17.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5da5719280082ac6bd9aa7becb3938dc9f9cbd57fac7d2871717b1feb0902ab6"},
|
| 78 |
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{file = "cffi-1.17.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2bb1a08b8008b281856e5971307cc386a8e9c5b625ac297e853d36da6efe9c17"},
|
| 79 |
+
{file = "cffi-1.17.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:045d61c734659cc045141be4bae381a41d89b741f795af1dd018bfb532fd0df8"},
|
| 80 |
+
{file = "cffi-1.17.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:6883e737d7d9e4899a8a695e00ec36bd4e5e4f18fabe0aca0efe0a4b44cdb13e"},
|
| 81 |
+
{file = "cffi-1.17.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:6b8b4a92e1c65048ff98cfe1f735ef8f1ceb72e3d5f0c25fdb12087a23da22be"},
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| 82 |
+
{file = "cffi-1.17.1-cp310-cp310-win32.whl", hash = "sha256:c9c3d058ebabb74db66e431095118094d06abf53284d9c81f27300d0e0d8bc7c"},
|
| 83 |
+
{file = "cffi-1.17.1-cp310-cp310-win_amd64.whl", hash = "sha256:0f048dcf80db46f0098ccac01132761580d28e28bc0f78ae0d58048063317e15"},
|
| 84 |
+
{file = "cffi-1.17.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a45e3c6913c5b87b3ff120dcdc03f6131fa0065027d0ed7ee6190736a74cd401"},
|
| 85 |
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{file = "cffi-1.17.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:30c5e0cb5ae493c04c8b42916e52ca38079f1b235c2f8ae5f4527b963c401caf"},
|
| 86 |
+
{file = "cffi-1.17.1-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f75c7ab1f9e4aca5414ed4d8e5c0e303a34f4421f8a0d47a4d019ceff0ab6af4"},
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| 87 |
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{file = "cffi-1.17.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a1ed2dd2972641495a3ec98445e09766f077aee98a1c896dcb4ad0d303628e41"},
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| 88 |
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{file = "cffi-1.17.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:46bf43160c1a35f7ec506d254e5c890f3c03648a4dbac12d624e4490a7046cd1"},
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| 89 |
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| 90 |
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{file = "cffi-1.17.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:610faea79c43e44c71e1ec53a554553fa22321b65fae24889706c0a84d4ad86d"},
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| 91 |
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{file = "cffi-1.17.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:a9b15d491f3ad5d692e11f6b71f7857e7835eb677955c00cc0aefcd0669adaf6"},
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| 92 |
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{file = "cffi-1.17.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:de2ea4b5833625383e464549fec1bc395c1bdeeb5f25c4a3a82b5a8c756ec22f"},
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| 93 |
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{file = "cffi-1.17.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:fc48c783f9c87e60831201f2cce7f3b2e4846bf4d8728eabe54d60700b318a0b"},
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| 94 |
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{file = "cffi-1.17.1-cp311-cp311-win32.whl", hash = "sha256:85a950a4ac9c359340d5963966e3e0a94a676bd6245a4b55bc43949eee26a655"},
|
| 95 |
+
{file = "cffi-1.17.1-cp311-cp311-win_amd64.whl", hash = "sha256:caaf0640ef5f5517f49bc275eca1406b0ffa6aa184892812030f04c2abf589a0"},
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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| 100 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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|
| 106 |
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| 107 |
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|
| 109 |
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|
| 110 |
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{file = "cffi-1.17.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:706510fe141c86a69c8ddc029c7910003a17353970cff3b904ff0686a5927683"},
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| 111 |
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{file = "cffi-1.17.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de55b766c7aa2e2a3092c51e0483d700341182f08e67c63630d5b6f200bb28e5"},
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| 112 |
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{file = "cffi-1.17.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c59d6e989d07460165cc5ad3c61f9fd8f1b4796eacbd81cee78957842b834af4"},
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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|
| 117 |
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| 118 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 125 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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{file = "cffi-1.17.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:f1e22e8c4419538cb197e4dd60acc919d7696e5ef98ee4da4e01d3f8cfa4cc5a"},
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| 135 |
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{file = "cffi-1.17.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:c03e868a0b3bc35839ba98e74211ed2b05d2119be4e8a0f224fba9384f1fe02e"},
|
| 136 |
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|
| 137 |
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{file = "cffi-1.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:d016c76bdd850f3c626af19b0542c9677ba156e4ee4fccfdd7848803533ef662"},
|
| 138 |
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{file = "cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824"},
|
| 139 |
+
]
|
| 140 |
+
|
| 141 |
+
[package.dependencies]
|
| 142 |
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pycparser = "*"
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| 143 |
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| 144 |
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[[package]]
|
| 145 |
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name = "charset-normalizer"
|
| 146 |
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version = "3.4.2"
|
| 147 |
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
|
| 148 |
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optional = false
|
| 149 |
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python-versions = ">=3.7"
|
| 150 |
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groups = ["main"]
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| 151 |
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{file = "zstandard-0.23.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1bfe8de1da6d104f15a60d4a8a768288f66aa953bbe00d027398b93fb9680b26"},
|
| 1771 |
+
{file = "zstandard-0.23.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:29a2bc7c1b09b0af938b7a8343174b987ae021705acabcbae560166567f5a8db"},
|
| 1772 |
+
{file = "zstandard-0.23.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:61f89436cbfede4bc4e91b4397eaa3e2108ebe96d05e93d6ccc95ab5714be512"},
|
| 1773 |
+
{file = "zstandard-0.23.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:53ea7cdc96c6eb56e76bb06894bcfb5dfa93b7adcf59d61c6b92674e24e2dd5e"},
|
| 1774 |
+
{file = "zstandard-0.23.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:a4ae99c57668ca1e78597d8b06d5af837f377f340f4cce993b551b2d7731778d"},
|
| 1775 |
+
{file = "zstandard-0.23.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:379b378ae694ba78cef921581ebd420c938936a153ded602c4fea612b7eaa90d"},
|
| 1776 |
+
{file = "zstandard-0.23.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:50a80baba0285386f97ea36239855f6020ce452456605f262b2d33ac35c7770b"},
|
| 1777 |
+
{file = "zstandard-0.23.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:61062387ad820c654b6a6b5f0b94484fa19515e0c5116faf29f41a6bc91ded6e"},
|
| 1778 |
+
{file = "zstandard-0.23.0-cp38-cp38-win32.whl", hash = "sha256:b8c0bd73aeac689beacd4e7667d48c299f61b959475cdbb91e7d3d88d27c56b9"},
|
| 1779 |
+
{file = "zstandard-0.23.0-cp38-cp38-win_amd64.whl", hash = "sha256:a05e6d6218461eb1b4771d973728f0133b2a4613a6779995df557f70794fd60f"},
|
| 1780 |
+
{file = "zstandard-0.23.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3aa014d55c3af933c1315eb4bb06dd0459661cc0b15cd61077afa6489bec63bb"},
|
| 1781 |
+
{file = "zstandard-0.23.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0a7f0804bb3799414af278e9ad51be25edf67f78f916e08afdb983e74161b916"},
|
| 1782 |
+
{file = "zstandard-0.23.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb2b1ecfef1e67897d336de3a0e3f52478182d6a47eda86cbd42504c5cbd009a"},
|
| 1783 |
+
{file = "zstandard-0.23.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:837bb6764be6919963ef41235fd56a6486b132ea64afe5fafb4cb279ac44f259"},
|
| 1784 |
+
{file = "zstandard-0.23.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1516c8c37d3a053b01c1c15b182f3b5f5eef19ced9b930b684a73bad121addf4"},
|
| 1785 |
+
{file = "zstandard-0.23.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:48ef6a43b1846f6025dde6ed9fee0c24e1149c1c25f7fb0a0585572b2f3adc58"},
|
| 1786 |
+
{file = "zstandard-0.23.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:11e3bf3c924853a2d5835b24f03eeba7fc9b07d8ca499e247e06ff5676461a15"},
|
| 1787 |
+
{file = "zstandard-0.23.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:2fb4535137de7e244c230e24f9d1ec194f61721c86ebea04e1581d9d06ea1269"},
|
| 1788 |
+
{file = "zstandard-0.23.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8c24f21fa2af4bb9f2c492a86fe0c34e6d2c63812a839590edaf177b7398f700"},
|
| 1789 |
+
{file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:a8c86881813a78a6f4508ef9daf9d4995b8ac2d147dcb1a450448941398091c9"},
|
| 1790 |
+
{file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:fe3b385d996ee0822fd46528d9f0443b880d4d05528fd26a9119a54ec3f91c69"},
|
| 1791 |
+
{file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:82d17e94d735c99621bf8ebf9995f870a6b3e6d14543b99e201ae046dfe7de70"},
|
| 1792 |
+
{file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:c7c517d74bea1a6afd39aa612fa025e6b8011982a0897768a2f7c8ab4ebb78a2"},
|
| 1793 |
+
{file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:1fd7e0f1cfb70eb2f95a19b472ee7ad6d9a0a992ec0ae53286870c104ca939e5"},
|
| 1794 |
+
{file = "zstandard-0.23.0-cp39-cp39-win32.whl", hash = "sha256:43da0f0092281bf501f9c5f6f3b4c975a8a0ea82de49ba3f7100e64d422a1274"},
|
| 1795 |
+
{file = "zstandard-0.23.0-cp39-cp39-win_amd64.whl", hash = "sha256:f8346bfa098532bc1fb6c7ef06783e969d87a99dd1d2a5a18a892c1d7a643c58"},
|
| 1796 |
+
{file = "zstandard-0.23.0.tar.gz", hash = "sha256:b2d8c62d08e7255f68f7a740bae85b3c9b8e5466baa9cbf7f57f1cde0ac6bc09"},
|
| 1797 |
+
]
|
| 1798 |
+
|
| 1799 |
+
[package.dependencies]
|
| 1800 |
+
cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\""}
|
| 1801 |
+
|
| 1802 |
+
[package.extras]
|
| 1803 |
+
cffi = ["cffi (>=1.11)"]
|
| 1804 |
+
|
| 1805 |
[metadata]
|
| 1806 |
lock-version = "2.1"
|
| 1807 |
python-versions = "^3.12"
|
| 1808 |
+
content-hash = "01fce1b28c079d10a48fdde4d6662be3376d5a8ed3e884598fc2e30de2dc3f88"
|
api/pyproject.toml
CHANGED
|
@@ -15,6 +15,10 @@ python-dotenv = "~=1.1.0"
|
|
| 15 |
uvicorn = {extras = ["standard"], version = "~=0.34.0"}
|
| 16 |
websockets = "~=15.0.1"
|
| 17 |
openai = "^1.77.0"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
|
| 19 |
[tool.poetry.group.dev.dependencies]
|
| 20 |
pytest = "^7.4.0"
|
|
|
|
| 15 |
uvicorn = {extras = ["standard"], version = "~=0.34.0"}
|
| 16 |
websockets = "~=15.0.1"
|
| 17 |
openai = "^1.77.0"
|
| 18 |
+
langchain-openai = "^0.3.16"
|
| 19 |
+
langchain-core = "^0.3.59"
|
| 20 |
+
python-slugify = "^8.0.4"
|
| 21 |
+
numpy = "^2.2.5"
|
| 22 |
|
| 23 |
[tool.poetry.group.dev.dependencies]
|
| 24 |
pytest = "^7.4.0"
|
api/scripts/model_games.py
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import os
|
| 2 |
+
import json
|
| 3 |
+
from pydantic import BaseModel, Field
|
| 4 |
+
from typing import Literal, Optional, ClassVar
|
| 5 |
+
from slugify import slugify
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
class Event(BaseModel):
|
| 9 |
+
id: str = Field(default_factory=slugify)
|
| 10 |
+
game_name: str
|
| 11 |
+
description: str
|
| 12 |
+
event: str
|
| 13 |
+
minute: str
|
| 14 |
+
player: str
|
| 15 |
+
team: str
|
| 16 |
+
|
| 17 |
+
@classmethod
|
| 18 |
+
def from_row(cls, game_name: str, row_id: int, **kwargs):
|
| 19 |
+
return cls(
|
| 20 |
+
id=f"{game_name}_{row_id}",
|
| 21 |
+
game_name=game_name,
|
| 22 |
+
description=kwargs["description"],
|
| 23 |
+
event=kwargs["event"],
|
| 24 |
+
minute=kwargs["minute"],
|
| 25 |
+
player=kwargs["player"],
|
| 26 |
+
team=kwargs["team"],
|
| 27 |
+
)
|
| 28 |
+
|
| 29 |
+
def event_vector_metadata(self):
|
| 30 |
+
return {
|
| 31 |
+
"type": "event",
|
| 32 |
+
"game_name": self.game_name,
|
| 33 |
+
"description": self.description,
|
| 34 |
+
"event": self.event,
|
| 35 |
+
"minute": self.minute,
|
| 36 |
+
"player": self.player,
|
| 37 |
+
"team": self.team,
|
| 38 |
+
}
|
| 39 |
+
|
| 40 |
+
@classmethod
|
| 41 |
+
def get_events(cls):
|
| 42 |
+
for filename in os.listdir("/workspace/data/huge-league/games"):
|
| 43 |
+
with open(os.path.join("/workspace/data/huge-league/games", filename), 'r') as f:
|
| 44 |
+
data = json.load(f)
|
| 45 |
+
for row_id, event in enumerate(data):
|
| 46 |
+
yield cls.from_row(game_name=filename.split(".")[0], row_id=row_id, **event)
|
api/scripts/model_player.py
CHANGED
|
@@ -3,6 +3,7 @@ import json
|
|
| 3 |
from pydantic import BaseModel, Field, ValidationError
|
| 4 |
from typing import Literal, Optional, ClassVar
|
| 5 |
import hashlib
|
|
|
|
| 6 |
|
| 7 |
|
| 8 |
class Player(BaseModel):
|
|
@@ -24,7 +25,8 @@ class Player(BaseModel):
|
|
| 24 |
def id(self):
|
| 25 |
if not self.team:
|
| 26 |
raise ValueError("Team must not be empty")
|
| 27 |
-
return hashlib.sha256(f"{self.team}_{self.number}".encode()).hexdigest()
|
|
|
|
| 28 |
|
| 29 |
@property
|
| 30 |
def filename(self):
|
|
@@ -77,6 +79,20 @@ class Player(BaseModel):
|
|
| 77 |
"role": self.role,
|
| 78 |
}
|
| 79 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 80 |
def save(self):
|
| 81 |
with open(os.path.join("/workspace/data/huge-league/players", self.filename), 'w') as f:
|
| 82 |
json.dump(self.model_dump(), f)
|
|
|
|
| 3 |
from pydantic import BaseModel, Field, ValidationError
|
| 4 |
from typing import Literal, Optional, ClassVar
|
| 5 |
import hashlib
|
| 6 |
+
from slugify import slugify
|
| 7 |
|
| 8 |
|
| 9 |
class Player(BaseModel):
|
|
|
|
| 25 |
def id(self):
|
| 26 |
if not self.team:
|
| 27 |
raise ValueError("Team must not be empty")
|
| 28 |
+
# return hashlib.sha256(f"{self.team}_{self.number}".encode()).hexdigest()
|
| 29 |
+
return slugify(f"{self.team}_{self.number}")
|
| 30 |
|
| 31 |
@property
|
| 32 |
def filename(self):
|
|
|
|
| 79 |
"role": self.role,
|
| 80 |
}
|
| 81 |
|
| 82 |
+
def player_vector_metadata(self):
|
| 83 |
+
return {
|
| 84 |
+
"type": "player",
|
| 85 |
+
"number": self.number,
|
| 86 |
+
"name": slugify(self.name),
|
| 87 |
+
"position": slugify(self.position),
|
| 88 |
+
"age": self.age,
|
| 89 |
+
"nationality": slugify(self.nationality),
|
| 90 |
+
"shirt_number": self.shirt_number,
|
| 91 |
+
"preferred_foot": slugify(self.preferred_foot),
|
| 92 |
+
"role": slugify(self.role),
|
| 93 |
+
"team": slugify(self.team),
|
| 94 |
+
}
|
| 95 |
+
|
| 96 |
def save(self):
|
| 97 |
with open(os.path.join("/workspace/data/huge-league/players", self.filename), 'w') as f:
|
| 98 |
json.dump(self.model_dump(), f)
|
api/scripts/model_teams.py
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import os
|
| 2 |
+
import json
|
| 3 |
+
from pydantic import BaseModel, Field, validator
|
| 4 |
+
from typing import Literal, Optional, ClassVar
|
| 5 |
+
from slugify import slugify
|
| 6 |
+
|
| 7 |
+
teams = [
|
| 8 |
+
{
|
| 9 |
+
"name": "Yucatán Force",
|
| 10 |
+
"city": "Mérida",
|
| 11 |
+
"region": "Mexico",
|
| 12 |
+
"description": "Deep in the Mayan heartland, this team blends cultural pride with raw talent. Their fortress-like stadium is known as El Templo del Sol — The Temple of the Sun.",
|
| 13 |
+
"logo": "yucatan-force.png",
|
| 14 |
+
},
|
| 15 |
+
{
|
| 16 |
+
"name": "Tierra Alta FC",
|
| 17 |
+
"city": "San José",
|
| 18 |
+
"region": "Costa Rica",
|
| 19 |
+
"description": "Named for the highlands of Costa Rica, this team champions sustainability and tactical intelligence. Their lush green stadium is solar-powered and ringed by cloud forest.",
|
| 20 |
+
"logo": "tierra-alta.png",
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"name": "Everglade FC",
|
| 24 |
+
"city": "Miami",
|
| 25 |
+
"region": "Florida",
|
| 26 |
+
"description": "Fast, flashy, and fiercely proud of their roots in the wetlands, Everglade FC plays with flair under the humid lights of South Florida. Their style is as wild and unpredictable as the ecosystem they represent.",
|
| 27 |
+
"logo": "everglade.png",
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"name": "Fraser Valley United",
|
| 31 |
+
"city": "Abbotsford",
|
| 32 |
+
"region": "British Columbia",
|
| 33 |
+
"description": "Surrounded by vineyards and mountains, this team brings together rural BC pride with west coast sophistication. Known for their academy program, they're a pipeline for Canadian talent.",
|
| 34 |
+
"logo": "fraser-valley.png",
|
| 35 |
+
},
|
| 36 |
+
]
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
class Team(BaseModel):
|
| 40 |
+
id: str
|
| 41 |
+
name: str
|
| 42 |
+
city: str
|
| 43 |
+
region: str
|
| 44 |
+
description: str
|
| 45 |
+
logo: str
|
| 46 |
+
|
| 47 |
+
@validator("id", pre=True)
|
| 48 |
+
def slugify_id(cls, v):
|
| 49 |
+
return slugify(v)
|
| 50 |
+
|
| 51 |
+
@validator("city", pre=True)
|
| 52 |
+
def slugify_city(cls, v):
|
| 53 |
+
return slugify(v)
|
| 54 |
+
|
| 55 |
+
@validator("region", pre=True)
|
| 56 |
+
def slugify_region(cls, v):
|
| 57 |
+
return slugify(v)
|
| 58 |
+
|
| 59 |
+
def team_vector_metadata(self):
|
| 60 |
+
return {
|
| 61 |
+
"type": "team",
|
| 62 |
+
"name": self.name,
|
| 63 |
+
"city": self.city,
|
| 64 |
+
"region": self.region,
|
| 65 |
+
}
|
| 66 |
+
|
| 67 |
+
@classmethod
|
| 68 |
+
def get_teams(cls):
|
| 69 |
+
for team in teams:
|
| 70 |
+
yield cls(id=team["name"], **team)
|
api/scripts/vectorstore_load.py
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
import json
|
| 2 |
+
from langchain_openai import OpenAIEmbeddings
|
| 3 |
+
from langchain_core.vectorstores import InMemoryVectorStore
|
| 4 |
+
from langchain_core.documents import Document
|
| 5 |
+
from model_player import Player
|
| 6 |
+
from model_games import Event
|
| 7 |
+
from model_teams import Team
|
| 8 |
+
|
| 9 |
+
embeddings = OpenAIEmbeddings(model="text-embedding-3-large")
|
| 10 |
+
# vector_store = InMemoryVectorStore.load("/code/data/vectorstore.json", embedding=embeddings)
|
| 11 |
+
vector_store = InMemoryVectorStore(embeddings)
|
| 12 |
+
|
| 13 |
+
# add players
|
| 14 |
+
print("Adding players...")
|
| 15 |
+
for player in Player.get_players():
|
| 16 |
+
print('-->',player.id)
|
| 17 |
+
doc = Document(
|
| 18 |
+
id=player.id,
|
| 19 |
+
page_content=json.dumps(player.model_dump()),
|
| 20 |
+
metadata=player.player_vector_metadata(),
|
| 21 |
+
)
|
| 22 |
+
vector_store.add_documents([doc])
|
| 23 |
+
|
| 24 |
+
# add events
|
| 25 |
+
print("Adding events...")
|
| 26 |
+
games = []
|
| 27 |
+
for event in Event.get_events():
|
| 28 |
+
print('-->',event.id)
|
| 29 |
+
if event.game_name not in games:
|
| 30 |
+
games.append(event.game_name)
|
| 31 |
+
doc = Document(
|
| 32 |
+
id=event.game_name,
|
| 33 |
+
page_content=event.game_name,
|
| 34 |
+
metadata={"type": "game"},
|
| 35 |
+
)
|
| 36 |
+
vector_store.add_documents([doc])
|
| 37 |
+
|
| 38 |
+
doc = Document(
|
| 39 |
+
id=event.id,
|
| 40 |
+
page_content=json.dumps(event.model_dump()),
|
| 41 |
+
metadata=event.event_vector_metadata(),
|
| 42 |
+
)
|
| 43 |
+
vector_store.add_documents([doc])
|
| 44 |
+
|
| 45 |
+
# add teams
|
| 46 |
+
print("Adding teams...")
|
| 47 |
+
for team in Team.get_teams():
|
| 48 |
+
print('-->',team.id)
|
| 49 |
+
doc = Document(
|
| 50 |
+
id=team.id,
|
| 51 |
+
page_content=json.dumps(team.model_dump()),
|
| 52 |
+
metadata=team.team_vector_metadata(),
|
| 53 |
+
)
|
| 54 |
+
vector_store.add_documents([doc])
|
| 55 |
+
|
| 56 |
+
print("Saving vector store...")
|
| 57 |
+
vector_store.dump("/code/data/vectorstore.json")
|
api/scripts/vectorstore_search.py
ADDED
|
@@ -0,0 +1,16 @@
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from pprint import pprint
|
| 2 |
+
from langchain_openai import OpenAIEmbeddings
|
| 3 |
+
from langchain_core.vectorstores import InMemoryVectorStore
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
embeddings = OpenAIEmbeddings(model="text-embedding-3-large")
|
| 7 |
+
vector_store = InMemoryVectorStore.load("/code/data/vectorstore.json", embedding=embeddings)
|
| 8 |
+
|
| 9 |
+
# query = "ryan brown"
|
| 10 |
+
# query = "defensive midfielder"
|
| 11 |
+
query = "goaly"
|
| 12 |
+
results = vector_store.similarity_search(query, k=3)
|
| 13 |
+
|
| 14 |
+
for result in results:
|
| 15 |
+
pprint(result.page_content)
|
| 16 |
+
print("---")
|
api/tools/__init__.py
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from .player_search import PlayerSearchTool
|
| 2 |
+
|
| 3 |
+
__all__ = [
|
| 4 |
+
"PlayerSearchTool",
|
| 5 |
+
]
|
api/tools/game_search.py
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from langchain_core.tools import BaseTool
|
| 2 |
+
from pydantic import BaseModel, Field
|
| 3 |
+
from langchain_core.documents import Document
|
| 4 |
+
from typing import Type, List
|
| 5 |
+
|
| 6 |
+
from data.vectorstore_singleton import get_vector_store
|
| 7 |
+
|
| 8 |
+
vector_store = get_vector_store()
|
| 9 |
+
|
| 10 |
+
# get list of games
|
| 11 |
+
games = vector_store.similarity_search(
|
| 12 |
+
"",
|
| 13 |
+
filter=lambda doc: doc.metadata.get("type") == "game",
|
| 14 |
+
)
|
| 15 |
+
games = [game.page_content for game in games]
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
class GameSearchSchema(BaseModel):
|
| 19 |
+
query: str = Field(description=f"Name of the game to retrieve. Available options: {games}")
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
class GameSearchTool(BaseTool):
|
| 23 |
+
name: str = "game_search"
|
| 24 |
+
description: str = "Search for games in the vector store"
|
| 25 |
+
args_schema: Type[BaseModel] = GameSearchSchema
|
| 26 |
+
description: str = ""
|
| 27 |
+
|
| 28 |
+
def _run(self, query: str) -> List[Document]:
|
| 29 |
+
result = vector_store.similarity_search(
|
| 30 |
+
"",
|
| 31 |
+
k=20,
|
| 32 |
+
filter=lambda doc: doc.metadata.get("type") == "event" and doc.metadata.get("game_name") == query,
|
| 33 |
+
)
|
| 34 |
+
return sorted(result, key=lambda doc: int(doc.id.split("_")[-1]))
|
| 35 |
+
|
| 36 |
+
async def _arun(self, query: str) -> List[Document]:
|
| 37 |
+
result = await vector_store.asimilarity_search(
|
| 38 |
+
"",
|
| 39 |
+
k=20,
|
| 40 |
+
filter=lambda doc: doc.metadata.get("type") == "event" and doc.metadata.get("game_name") == query,
|
| 41 |
+
)
|
| 42 |
+
return sorted(result, key=lambda doc: int(doc.id.split("_")[-1]))
|
api/tools/player_search.py
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from langchain_core.tools import BaseTool
|
| 2 |
+
from pydantic import BaseModel, Field
|
| 3 |
+
from langchain_core.documents import Document
|
| 4 |
+
from typing import Type, List
|
| 5 |
+
|
| 6 |
+
from data.vectorstore_singleton import get_vector_store
|
| 7 |
+
|
| 8 |
+
vector_store = get_vector_store()
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
class PlayerSearchSchema(BaseModel):
|
| 12 |
+
query: str = Field(description="The search query to identify a player. Examples: 'Deebo Samuel', '49ers QB', 'Number 19 on the 49ers'")
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
class PlayerSearchTool(BaseTool):
|
| 16 |
+
name: str = "player_search"
|
| 17 |
+
description: str = "Search for players in the vector store"
|
| 18 |
+
args_schema: Type[BaseModel] = PlayerSearchSchema
|
| 19 |
+
description: str = "Search for players in the vector store based on their name, position, or other identifying information. Returns a list of documents with player details, stats, headshots, social media links, etc."
|
| 20 |
+
|
| 21 |
+
def _run(self, query: str) -> List[Document]:
|
| 22 |
+
return vector_store.similarity_search(
|
| 23 |
+
query,
|
| 24 |
+
k=3,
|
| 25 |
+
filter={"type": "player"},
|
| 26 |
+
)
|
| 27 |
+
|
| 28 |
+
async def _arun(self, query: str) -> List[Document]:
|
| 29 |
+
return vector_store.asimilarity_search(
|
| 30 |
+
query,
|
| 31 |
+
k=3,
|
| 32 |
+
filter={"type": "player"},
|
| 33 |
+
)
|