### Install Dependencies

Source: https://github.com/amanecertrio/lasrca/blob/main/README.md

Navigate to the code directory and install project dependencies using pip.

```bash
cd ./code
pip install -r requirements.txt
```

--------------------------------

### Fine-tuning and Semi-supervised Learning

Source: https://github.com/amanecertrio/lasrca/blob/main/README.md

Scripts for fine-tuning and semi-supervised learning. Requires pretraining to be completed first. Specific lines in Python files need to be uncommented/commented before running.

```python
python ./tasks/fine_tuning_fault_type_classification.py (for Fine-tuning)
```

```python
python ./tasks/base_fault_type_classification.py (for Semi-supervised Learning)
```

--------------------------------

### Run Reproducibility Script

Source: https://github.com/amanecertrio/lasrca/blob/main/README.md

Navigate to the code directory and execute the reproducibility script to check results.

```bash
cd ./code
bash reproduce.sh
```

--------------------------------

### Preprocess Raw Data Scripts

Source: https://github.com/amanecertrio/lasrca/blob/main/README.md

Execute a series of Python scripts to preprocess raw data. Ensure raw data is placed in the specified path before running.

```python
cd ./code
python ./data_filter/CCF_AIOps_challenge_2022/dao/ground_truth_dao.py
```

```python
python ./data_filter/CCF_AIOps_challenge_2022/dao/topology_dao.py
```

```python
python ./data_filter/CCF_AIOps_challenge_2022/dao/metric_dao.py
```

```python
python ./data_filter/CCF_AIOps_challenge_2022/dao/log_dao.py
```

```python
python ./data_filter/CCF_AIOps_challenge_2022/dao/trace_dao.py
```

```python
python ./data_filter/CCF_AIOps_challenge_2022/service/time_interval_label_generator.py
```

```python
python ./data_filter/CCF_AIOps_challenge_2022/service/ent_edge_index_generator.py
```

```python
python ./data_filter/CCF_AIOps_challenge_2022/service/metric_generator.py
```

```python
python ./data_filter/CCF_AIOps_challenge_2022/service/log_generator.py
```

```python
python ./data_filter/CCF_AIOps_challenge_2022/service/trace_generator.py
```

```python
python ./data_filter/CCF_AIOps_challenge_2022/service/dataset_generator.py
```

--------------------------------

### LLM Fault Labeling Scripts

Source: https://github.com/amanecertrio/lasrca/blob/main/README.md

Execute a series of scripts for LLM fault labeling. Ensure 'k' and 'api_key' are correctly configured in 'code/llm/common.py'.

```python
python ./llm/first_stage.py
```

```python
python ./llm/second_stage.py
```

```python
python ./llm/third_stage.py
```

```python
python ./llm/summarization_stage.py
```

```python
python ./llm/update_dataset.py
```

--------------------------------

### Pretrain TS2Vec Model

Source: https://github.com/amanecertrio/lasrca/blob/main/README.md

Run the pretraining script for TS2Vec embeddings. This is a prerequisite for fine-tuning and semi-supervised learning experiments.

```bash
cd ./code
bash pretrain.sh
```

--------------------------------

### One-Shot Small Classifier Training

Source: https://github.com/amanecertrio/lasrca/blob/main/README.md

Configure and run the script for one-shot small classifier training. Involves modifying specific lines in 'las_rca.py' and setting seed values.

```python
python ./tasks/las_rca.py
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.