mirror of
https://github.com/velocitatem/PHANTOM.git
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ad9423bf59
* introducing airflow to run pipeline * chore: updating dag with upload to registry * introducing complete provider (non refactored and noisy) * chore: removing old shit * generic pricing baselines * feature: super simple model registry (to be updated maybe third party OS software) * chore: refactoring the providers docker config and requirements * chore: refactored and broke down components (braking * exporting all * local pipeline excution working * fix: fixing import structures from nonrelativistic * chore: enables cross comm pickling with fully e2e pipeline compilation * docs: what the pipeline is like now * pipelines local running and pipeline high level definition * cleaning old pipeline and vectorization * leaked but fixing, not so important * test: started with pipeline step testing * chore: cleaning up provider of prices * test: extra tests wit hsemantic meaning checks * migrating pricers * feature: introducing pricing predictors (pricers) * chore: e2e is done with new pipeline * extra session feature extraction * feature: experiemntal sessin pricer and metrics(vibe) * chore: redefined and connected pricers (#29)
16 lines
224 B
Plaintext
16 lines
224 B
Plaintext
fastapi
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uvicorn[standard]
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pydantic
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numpy
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pandas
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scikit-learn
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redis
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supabase
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confluent-kafka>=2.3.0
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kafka-python
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graphviz
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python-dotenv>=1.0.0
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requests>=2.31.0
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typing-extensions>=4.8.0
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pickle5>=0.0.11; python_version < '3.8'
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