#!/bin/bash

# Runs transformers benchmark in olmocr-bench
set -e


# Check for uncommitted changes
# if ! git diff-index --quiet HEAD --; then
#     echo "Error: There are uncommitted changes in the repository."
#     echo "Please commit or stash your changes before running the benchmark."
#     echo ""
#     echo "Uncommitted changes:"
#     git status --short
#     exit 1
# fi

# Use conda environment Python if available, otherwise use system Python
if [ -n "$CONDA_PREFIX" ]; then
    PYTHON="$CONDA_PREFIX/bin/python"
    echo "Using conda Python from: $CONDA_PREFIX"
else
    PYTHON="python"
    echo "Warning: No conda environment detected, using system Python"
fi

# Get version from version.py
VERSION=$($PYTHON -c 'import olmocr.version; print(olmocr.version.VERSION)')
echo "OlmOCR version: $VERSION"

# Get first 10 characters of git hash
GIT_HASH=$(git rev-parse HEAD | cut -c1-10)
echo "Git hash: $GIT_HASH"

# Get current git branch name
GIT_BRANCH=$(git rev-parse --abbrev-ref HEAD)
echo "Git branch: $GIT_BRANCH"

# Create full image tag
IMAGE_TAG="olmocr-benchmark-${VERSION}-${GIT_HASH}"
echo "Building Docker image with tag: $IMAGE_TAG"

# Build the Docker image
echo "Building Docker image..."
docker build --platform linux/amd64 -f ./Dockerfile -t $IMAGE_TAG .

# Get Beaker username
BEAKER_USER=$(beaker account whoami --format json | jq -r '.[0].name')
echo "Beaker user: $BEAKER_USER"

# Push image to beaker
echo "Trying to push image to Beaker..."
if ! beaker image create --workspace ai2/oe-data-pdf --name $IMAGE_TAG $IMAGE_TAG 2>/dev/null; then
    echo "Warning: Beaker image with tag $IMAGE_TAG already exists. Using existing image."
fi

# Create Python script to run beaker experiment
cat << 'EOF' > /tmp/run_benchmark_experiment.py
import sys
from beaker import Beaker, ExperimentSpec, TaskSpec, TaskContext, ResultSpec, TaskResources, ImageSource, Priority, Constraints, EnvVar

# Get image tag, beaker user, git branch, git hash,  version from command line
image_tag = sys.argv[1]
beaker_user = sys.argv[2]
git_branch = sys.argv[3]
git_hash = sys.argv[4]


# Initialize Beaker client
b = Beaker.from_env(default_workspace="ai2/olmocr")


# Check if AWS credentials secret exists
aws_creds_secret = f"{beaker_user}-AWS_CREDENTIALS_FILE"
try:
    # Try to get the secret to see if it exists
    b.secret.get(aws_creds_secret, workspace="ai2/olmocr")
    has_aws_creds = True
    print(f"Found AWS credentials secret: {aws_creds_secret}")
except:
    has_aws_creds = False
    print(f"AWS credentials secret not found: {aws_creds_secret}")

# First experiment: Original benchmark job
commands = []
if has_aws_creds:
    commands.extend([
        "mkdir -p ~/.aws",
        'echo "$AWS_CREDENTIALS_FILE" > ~/.aws/credentials'
    ])
commands.extend([
    "git clone https://huggingface.co/datasets/allenai/olmOCR-bench",
    "cd olmOCR-bench && git lfs pull && cd ..",
    "pip install accelerate",
    "pip install flash-attn==2.8.0.post2 --no-build-isolation",
    "PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True python -m olmocr.bench.convert transformers:target_longest_image_dim=1288:prompt_template=yaml:response_template=yaml --dir ./olmOCR-bench/bench_data",
    "python -m olmocr.bench.benchmark --dir ./olmOCR-bench/bench_data"
])

# Build task spec with optional env vars
task_spec_args = {
    "name": "transformers-benchmark",
    "image": ImageSource(beaker=f"{beaker_user}/{image_tag}"),
    "command": [
        "bash", "-c",
        " && ".join(commands)
    ],
    "context": TaskContext(
        priority=Priority.normal,
        preemptible=True,
    ),
    "resources": TaskResources(gpu_count=1),
    "constraints": Constraints(cluster=["ai2/titan-cirrascale"]),
    "result": ResultSpec(path="/noop-results"),
}

# Add env vars if AWS credentials exist
if has_aws_creds:
    task_spec_args["env_vars"] = [
        EnvVar(name="AWS_CREDENTIALS_FILE", secret=aws_creds_secret)
    ]

# Create first experiment spec
experiment_spec = ExperimentSpec(
    description=f"Transformers Benchmark Run - Branch: {git_branch}, Commit: {git_hash}",
    budget="ai2/oe-data",
    tasks=[TaskSpec(**task_spec_args)],
)

# Create the first experiment
experiment = b.experiment.create(spec=experiment_spec, workspace="ai2/olmocr")
print(f"Created benchmark experiment: {experiment.id}")
print(f"View at: https://beaker.org/ex/{experiment.id}")
print("-------")
print("")


EOF

# Run the Python script to create the experiments
echo "Creating Beaker experiments..."
$PYTHON /tmp/run_benchmark_experiment.py $IMAGE_TAG $BEAKER_USER $GIT_BRANCH $GIT_HASH

# Clean up temporary file
rm /tmp/run_benchmark_experiment.py

echo "Benchmark experiments submitted successfully!"