Daily Prod Data Log #58

	# Simulates a workflow that would run periodically to batch and log production data
	name: Production Data Batching

	on:
	# FIXME: We would typically run this on a schedule, but since this is just an example,
	# we will instead emulate executions by running POST requests directly from a script
	# schedule:
	# - cron: '0 0 * * *' # Run every day at midnight
	repository_dispatch: # Allow triggering from a POST request
	types: ["Daily Prod Data Log"]
	push: # run on push to specific branches (use for debugging)
	branches: my_debug_branch # Run on push to debug branch

	jobs:
	batch_data:
	runs-on: ubuntu-latest
	steps:
	- name: ⏬ Checkout repository
	uses: actions/checkout@v4

	- name: 🐍 Setup python
	uses: actions/setup-python@v5
	with:
	python-version: '3.10'

	- name: 📦 Install dependencies
	run: \|
	pip install pipenv
	cd batch
	pipenv sync

	- name: ⚙️ Log Production Data
	env:
	WANDB_API_KEY: ${{ secrets.WANDB_API_KEY }}
	# BATCH_TYPE: ${{ github.event.client_payload.batch_type }}
	ITERATION: ${{ github.event.client_payload.iteration }}
	HISTORY_DAYS: ${{ github.event.client_payload.history_days }}
	STRIDE_DAYS: ${{ github.event.client_payload.stride_days }}
	run: \|
	cd batch
	command="pipenv run python batch_data.py \
	--batch-type=production \
	--iteration=${ITERATION:-0} \
	--history-days=${HISTORY_DAYS:-200} \
	--stride-days=${STRIDE_DAYS:-1}"
	output=$($command)
	echo "$output" >> $GITHUB_STEP_SUMMARY

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