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feat: Enabling automation of experiments running v2.0 #469

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8726ab8
Revising to enable automation of experiments running v1.0
xisen-w Nov 4, 2024
b44bef5
Any new updates
xisen-w Nov 15, 2024
c100876
Revising to enable automation of experiments running v1.0
xisen-w Nov 4, 2024
18370d4
Any new updates
xisen-w Nov 15, 2024
21a99d2
Add template
you-n-g Nov 15, 2024
86ae0b2
Stoping tracking additional env
xisen-w Nov 20, 2024
f94dbff
Merge branch 'automated-evaluation' of https://github.com/microsoft/R…
xisen-w Nov 20, 2024
66ffd6d
Uploading relevant envs
xisen-w Nov 20, 2024
0ef80a5
Adding tests
xisen-w Nov 20, 2024
907d980
Updating
xisen-w Nov 20, 2024
51388d1
Updated collect.py to extract result from trace
xisen-w Nov 23, 2024
af6220e
Update .gitignore to remove the unecessary ones
xisen-w Nov 23, 2024
54c3c6d
"Remove unnecessary files"
xisen-w Nov 23, 2024
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Merge branch 'automated-evaluation' of https://github.com/microsoft/R…
xisen-w Nov 25, 2024
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Merge branch 'main' into automated-evaluation
xisen-w Nov 25, 2024
38bb9e6
Updated to enable automatic collection of experiment result information
xisen-w Nov 25, 2024
10b0053
Updating the env files & Upading test_system file
xisen-w Nov 25, 2024
238f492
Updated relevant env for better testing
xisen-w Nov 25, 2024
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Updated README.md
xisen-w Nov 25, 2024
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Updates
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README update
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README update
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xisen-w committed Dec 3, 2024
commit b7cc98eb1f6d6a2a301631a501050e23464b2c51
157 changes: 67 additions & 90 deletions scripts/exp/tools/README.md
Original file line number Diff line number Diff line change
@@ -1,148 +1,125 @@
### Tools Directory
# Tools Directory

This directory provides scripts to run experiments with different environment configurations, collect results, and demonstrate usage through an example script.

### Directory Structure
## Directory Structure

```
scripts/exp/tools/
├── run_envs.sh # Script for running experiments
├── collect.py # Results collection and summary
├── test_system.sh # Usage script for rdagent kaggle loop
├── README.md # This documentation

Tools Overview

1. run_envs.sh: Executes experiments with different environment configurations in parallel.
2. collect.py: Collects and summarizes experiment results into a single file.
3. test_system.sh: Demonstrates how to use the above tools together for experiment execution and result collection [for rdagent kaggle loop]
└── README.md # This documentation
```

### Getting Started
## Tools Overview

Prerequisites
1. **run_envs.sh**: Executes experiments with different environment configurations in parallel.
2. **collect.py**: Collects and summarizes experiment results into a single file.
3. **test_system.sh**: Demonstrates how to use the above tools together for experiment execution and result collection (for rdagent kaggle loop).

1. Ensure the scripts have execution permissions:
## Getting Started

```
chmod +x scripts/exp/tools/run_envs.sh
chmod +x scripts/exp/tools/test_system.sh
```
### Prerequisites

2. Place your .env files in the desired directory for environment configurations.
Place your `.env` files in the desired directory for environment configurations.

### Usage
## Usage

#### 1. Running Experiments with Different Environments
### 1. Running Experiments with Different Environments

The run_envs.sh script allows running a command with multiple environment configurations in parallel.
The `run_envs.sh` script allows running a command with multiple environment configurations in parallel.

**Command Syntax**
**Command Syntax:**

```
```bash
./run_envs.sh -d <dir_to_.envfiles> -j <number_of_parallel_processes> -- <command>
```

**Example Usage**
**Example Usage:**

Basic example:
- Basic example:

```
./run_envs.sh -d env_files -j 1 -- echo "Hello"
```
```bash
./run_envs.sh -d env_files -j 1 -- echo "Hello"
```

Practical example (running the kaggle loop file):
- Practical example (running the kaggle loop file):

```
dotenv run -- ./run_envs.sh -d RD-Agent/scripts/exp/ablation/env -j 1 -- python RD-Agent/rdagent/app/kaggle/loop.py
```
```bash
dotenv run -- ./run_envs.sh -d RD-Agent/scripts/exp/ablation/env -j 1 -- python RD-Agent/rdagent/app/kaggle/loop.py
```

**Explanation:**

| Option | Description |
| --- | --- |
| `-d` | Specifies the directory containing .env files. |
| `-j` | Number of parallel processes to run (e.g., 1 for sequential execution). |
| `--` | Separates script options from the command to execute. |
| `<command>` | The command to execute with the environment variables loaded. |

| Option | Description |
|-------------|--------------------------------------------------------------|
| `-d` | Specifies the directory containing `.env` files. |
| `-j` | Number of parallel processes to run (e.g., 1 for sequential execution). |
| `--` | Separates script options from the command to execute. |
| `<command>`| The command to execute with the environment variables loaded.|

####2.Collecting Results
### 2. Collecting Results

The collect.py script processes logs and generates a summary JSON file.
The `collect.py` script processes logs and generates a summary JSON file.

**Command Syntax**
**Command Syntax:**

```
```bash
python collect.py --log_path <path_to_logs> --output_name <summary_filename>
```

**Example Usage**
**Example Usage:**

Collect results from logs:

```
```bash
python collect.py --log_path logs --output_name summary.json
```

**Explanation:**

| Option | Description |
| --- | --- |
| `--log_path` | Required. Specifies the directory containing experiment logs. |
| `--output_name` | Optional. The name of the output summary file (default: summary.json). |
| Option | Description |
|-----------------|--------------------------------------------------------------|
| `--log_path` | Required. Specifies the directory containing experiment logs.|
| `--output_name`| Optional. The name of the output summary file (default: summary.json). |

#### 3. Example Workflow [for rdagent kaggle loop]
### 3. Example Workflow (for rdagent kaggle loop)

Use the test_system.sh script to demonstrate a complete workflow.
Use the `test_system.sh` script to demonstrate a complete workflow.

**Steps:**

1. Ensure the scripts are executable:
1. Run the test system:

```
chmod +x scripts/exp/tools/run_envs.sh
chmod +x scripts/exp/tools/test_system.sh
```

2. Run the test system:

```
./scripts/exp/tools/test_system.sh
```
```bash
./scripts/exp/tools/test_system.sh
```

This will:
1. Load environment configurations from .env files.
2. Execute experiments using the configurations.
This will:
1. Load environment configurations from `.env` files.
2. Execute experiments using the configurations.

3. Find your logs in the logs directory.
2. Find your logs in the `logs` directory.

4. Use the collect.py script to summarize results:
3. Use the `collect.py` script to summarize results:

```
python collect.py --log_path logs --output_name summary.json
```
```bash
python collect.py --log_path logs --output_name summary.json
```

### Troubleshooting
## Create Your Own Workflow

#### Permission Denied
- Create the ablation environments under a specified folder.
- Revise the `test_system.sh` template to adjust the path and relevant commands for execution.
- Run `test_system.sh` to execute the environments through different configurations.
- Keep track of your log path and use `collect.py` to collect the results at scale.

If you encounter a PermissionError when running scripts:

1.Ensure the script has execution permissions:

```
chmod +x ./scripts/exp/tools/run_envs.sh
chmod +x ./scripts/exp/tools/test_system.sh
```

2.Verify file ownership:

```
ls -l ./scripts/exp/tools/
```
## Notes

### Notes
* Scale parallel processes as needed using the -j parameter.
* Avoid errors by ensuring .env files are correctly formatted.
* Modify test_system.sh to meet your project's specific needs.
* Add other metrics interested in collect.py to summarize automatically.
- Scale parallel processes as needed using the `-j` parameter.
- Avoid errors by ensuring `.env` files are correctly formatted.
- Modify `test_system.sh` to meet your project's specific needs.
- Add other metrics of interest in `collect.py` to summarize automatically.

For further assistance, refer to the comments within the scripts or reach out to the development team.
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