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Merged
MoaazEmam merged 1 commit into from
May 4, 2026
Merged

add csv file downloads #46

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2 changes: 1 addition & 1 deletion .gitignore
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Original file line number Diff line number Diff line change
Expand Up @@ -210,7 +210,7 @@ data/raw
data/processed

# MLflow
mlruns/
#mlruns/
mlartifacts/

# Default ignored files
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19 changes: 19 additions & 0 deletions Dockerfile.prod
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Expand Up @@ -30,6 +30,25 @@ RUN az storage blob download-batch \
--account-key "${AZURE_STORAGE_KEY}" \
--source mlruns \
--destination /app/mlruns/ || echo "No mlruns/ in storage yet, skipping"
RUN az storage file download \
--account-name "${AZURE_STORAGE_ACCOUNT}" \
--account-key "${AZURE_STORAGE_KEY}" \
--share-name "train-val-selected" \
--path "train_val_selected.csv" \
--dest /app/data/processed/train_val_selected.csv && \
az storage file download \
--account-name "${AZURE_STORAGE_ACCOUNT}" \
--account-key "${AZURE_STORAGE_KEY}" \
--share-name "train-val-selected" \
--path "test_selected.csv" \
--dest /app/data/processed/test_selected.csv && \
az storage file download \
--account-name "${AZURE_STORAGE_ACCOUNT}" \
--account-key "${AZURE_STORAGE_KEY}" \
--share-name "train-val-selected" \
--path "market_data_merged.csv" \
--dest /app/data/raw/market_data_merged.csv
RUN echo "=== /app/data/processed/ ===" && ls -lh /app/data/processed/
EXPOSE 8000 8501

COPY docker/entrypoint.sh /entrypoint.sh
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14 changes: 5 additions & 9 deletions src/models/ml_flow.py
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Expand Up @@ -62,15 +62,11 @@ def run_mlflow_tracking() -> None:
MODELS_DIR.mkdir(parents=True, exist_ok=True)

mlflow.set_tracking_uri(settings.mlflow_tracking_uri)
if settings.mlflow_artifact_root:
mlflow.set_experiment(EXPERIMENT_NAME)
client = mlflow.tracking.MlflowClient()
exp = client.get_experiment_by_name(EXPERIMENT_NAME)
if exp is None:
mlflow.create_experiment(
EXPERIMENT_NAME, artifact_location=settings.mlflow_artifact_root
)

client = mlflow.tracking.MlflowClient()
exp = client.get_experiment_by_name(EXPERIMENT_NAME)
if exp is None:
artifact_loc = settings.mlflow_artifact_root or str(_PROJECT_ROOT / "mlruns")
mlflow.create_experiment(EXPERIMENT_NAME, artifact_location=artifact_loc)
mlflow.set_experiment(EXPERIMENT_NAME)

results_path = ARTIFACT_DIR / "training_results.json"
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