This commit is contained in:
samirodr
2026-05-20 15:21:45 -04:00
parent 717257dd75
commit cfc04b473f
5 changed files with 225 additions and 7 deletions

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.gitignore vendored
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# Byte-compiled / optimized / DLL files
__pycache__/ __pycache__/
*.py[codz]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py.cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
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profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# uv.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
# poetry.lock
# poetry.toml
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
# pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-python.
# https://pdm-project.org/en/latest/usage/project/#working-with-version-control
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# pixi.lock
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# in the .venv directory. It is recommended not to include this directory in version control.
.pixi
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__pypackages__/
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mnesia/
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*.sage.py
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env.bak/
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.ropeproject
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/site
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.mypy_cache/
.dmypy.json
dmypy.json
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.pyre/
# pytype static type analyzer
.pytype/
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cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
# .idea/
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# Abstra is an AI-powered process automation framework.
# Ignore directories containing user credentials, local state, and settings.
# Learn more at https://abstra.io/docs
.abstra/
# Visual Studio Code
# Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore
# that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
# and can be added to the global gitignore or merged into this file. However, if you prefer,
# you could uncomment the following to ignore the entire vscode folder
# .vscode/
# Temporary file for partial code execution
tempCodeRunnerFile.py
# Ruff stuff:
.ruff_cache/
# PyPI configuration file
.pypirc
# Marimo
marimo/_static/
marimo/_lsp/
__marimo__/
# Streamlit
.streamlit/secrets.toml
.venv/ .venv/
config.yaml config.yaml
cdk.out/ cdk.out/
.qai-cli-infra* .qc-cli-infra*

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@@ -1,6 +1,6 @@
# qc-cli # qc-cli
A CLI for the Qualcomm model MLOps pipeline — browse and download models from Qualcomm AI Hub, fine-tune them on custom datasets using SageMaker, validate inference, and prepare artifacts for Qualcomm hardware deployment. A CLI for Qualcomm's MLOps pipeline — browse and download models from Qualcomm AI Hub, fine-tune them on custom datasets using SageMaker, validate inference, and prepare artifacts for Qualcomm hardware deployment.
## Requirements ## Requirements

6
app.py
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@@ -3,18 +3,18 @@ import os
import aws_cdk as cdk import aws_cdk as cdk
from src.commands.utils import load_config from src.commands.utils import load_config
from src.infra.stack import QaiStack from src.infra.stack import QCStack
app = cdk.App() app = cdk.App()
config_path = app.node.try_get_context("config") or "config.yaml" config_path = app.node.try_get_context("config") or "config.yaml"
stack_name = app.node.try_get_context("stack_name") or "QaiCliStack" stack_name = app.node.try_get_context("stack_name") or "MLOpsStack"
account_id = app.node.try_get_context("account_id") or os.getenv("CDK_DEFAULT_ACCOUNT") account_id = app.node.try_get_context("account_id") or os.getenv("CDK_DEFAULT_ACCOUNT")
delete_bucket_data = str(app.node.try_get_context("delete_bucket_data") or "false").lower() == "true" delete_bucket_data = str(app.node.try_get_context("delete_bucket_data") or "false").lower() == "true"
cfg = load_config(config_path) cfg = load_config(config_path)
QaiStack( QCStack(
app, app,
stack_name, stack_name,
config=cfg, config=cfg,

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@@ -5,7 +5,7 @@ from typing import Any
from src.infra.state import state_path, write_infra_state from src.infra.state import state_path, write_infra_state
STACK_NAME = "QaiCliStack" STACK_NAME = "MLOpsStack"
def bootstrap( def bootstrap(

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@@ -9,7 +9,7 @@ from constructs import Construct
from src.config import Config, MlflowMode from src.config import Config, MlflowMode
class QaiStack(Stack): class QCStack(Stack):
def __init__( def __init__(
self, self,
scope: Construct, scope: Construct,