From b9c668df62e57d68e0aead9de6a025de8d3ed244 Mon Sep 17 00:00:00 2001 From: Alexandra Eliseeva Date: Fri, 17 Jan 2025 13:01:11 +0100 Subject: [PATCH] add latest experiments --- commit_message_generation/Makefile | 7 + commit_message_generation/README.md | 27 +- commit_message_generation/arun_baseline.py | 140 + .../configs/async/DeepSeek-R1.yaml | 23 + .../configs/async/DeepSeek-V3-16k-files.yaml | 26 + .../configs/async/DeepSeek-V3-16k.yaml | 26 + .../configs/async/DeepSeek-V3-32k.yaml | 26 + .../configs/async/DeepSeek-V3-4k-files.yaml | 26 + .../configs/async/DeepSeek-V3-4k.yaml | 26 + .../configs/async/DeepSeek-V3-64k.yaml | 26 + .../configs/async/DeepSeek-V3-8k-files.yaml | 26 + .../configs/async/DeepSeek-V3-8k.yaml | 26 + .../configs/async/DeepSeek-V3.yaml | 23 + .../async/Llama-3.1-405B-Instruct-Turbo.yaml | 23 + .../async/Llama-3.1-70B-Instruct-Turbo.yaml | 23 + .../async/Llama-3.1-8B-Instruct-Turbo.yaml | 23 + .../async/Llama-3.2-3B-Instruct-Turbo.yaml | 23 + .../async/Llama-3.3-70B-Instruct-Turbo.yaml | 23 + .../configs/async/QwQ-32B-Preview.yaml | 23 + .../async/Qwen2.5-Coder-32B-Instruct.yaml | 23 + .../configs/async/gpt-4o-2024-11-20.yaml | 23 + .../configs/async/gpt-4o-mini-2024-07-18.yaml | 23 + .../async/o1-mini-2024-09-12-16k-files.yaml | 26 + .../configs/async/o1-mini-2024-09-12-16k.yaml | 26 + .../async/o1-mini-2024-09-12-32k-files.yaml | 26 + .../async/o1-mini-2024-09-12-4k-files.yaml | 26 + .../configs/async/o1-mini-2024-09-12-4k.yaml | 26 + .../async/o1-mini-2024-09-12-64k-files.yaml | 26 + .../async/o1-mini-2024-09-12-8k-files.yaml | 26 + .../configs/async/o1-mini-2024-09-12-8k.yaml | 26 + .../configs/async/o1-mini-2024-09-12.yaml | 23 + .../configs/async/o1-preview-2024-09-12.yaml | 23 + .../configs/backbones_configs.py | 32 + .../configs/baseline_config.py | 18 +- .../configs/preprocessor_configs.py | 22 + .../configs/retrieval/DeepSeek-V3-files.yaml | 29 + .../retrieval/DeepSeek-V3-retrieval.yaml | 29 + .../notebooks/cmg_data_stats.ipynb | 436 +- commit_message_generation/poetry.lock | 6856 ++++++++++------- commit_message_generation/pyproject.toml | 34 +- commit_message_generation/run_baseline.py | 11 +- commit_message_generation/run_preprocessor.py | 54 + .../src/backbones/__init__.py | 10 +- .../src/backbones/base_backbone.py | 5 +- .../src/backbones/deepseek_backbone.py | 27 + .../src/backbones/hf_backbone.py | 11 +- .../src/backbones/openai_backbone.py | 31 +- .../src/backbones/together_backbone.py | 27 + commit_message_generation/src/baseline.py | 28 +- .../metrics/reused_implementations/b_norm.py | 1 - .../src/preprocessors/__init__.py | 12 +- .../src/preprocessors/base_preprocessor.py | 6 +- .../preprocessors/full_files_preprocessor.py | 130 + .../load_from_dataset_preprocessor.py | 27 + .../preprocessors/retrieval_preprocessor.py | 81 + .../preprocessors/simple_diff_preprocessor.py | 10 +- .../truncation_diff_preprocessor.py | 14 +- .../src/prompts/__init__.py | 4 +- .../src/prompts/base_prompt.py | 41 +- .../src/prompts/prompts.py | 55 +- .../src/retrieval/__init__.py | 0 .../src/retrieval/hf_document_loader.py | 107 + .../src/utils/git_utils.py | 68 + .../src/utils/tokenization_utils.py | 2 +- 64 files changed, 5839 insertions(+), 3268 deletions(-) create mode 100644 commit_message_generation/Makefile create mode 100644 commit_message_generation/arun_baseline.py create mode 100644 commit_message_generation/configs/async/DeepSeek-R1.yaml create mode 100644 commit_message_generation/configs/async/DeepSeek-V3-16k-files.yaml create mode 100644 commit_message_generation/configs/async/DeepSeek-V3-16k.yaml create mode 100644 commit_message_generation/configs/async/DeepSeek-V3-32k.yaml create mode 100644 commit_message_generation/configs/async/DeepSeek-V3-4k-files.yaml create mode 100644 commit_message_generation/configs/async/DeepSeek-V3-4k.yaml create mode 100644 commit_message_generation/configs/async/DeepSeek-V3-64k.yaml create mode 100644 commit_message_generation/configs/async/DeepSeek-V3-8k-files.yaml create mode 100644 commit_message_generation/configs/async/DeepSeek-V3-8k.yaml create mode 100644 commit_message_generation/configs/async/DeepSeek-V3.yaml create mode 100644 commit_message_generation/configs/async/Llama-3.1-405B-Instruct-Turbo.yaml create mode 100644 commit_message_generation/configs/async/Llama-3.1-70B-Instruct-Turbo.yaml create mode 100644 commit_message_generation/configs/async/Llama-3.1-8B-Instruct-Turbo.yaml create mode 100644 commit_message_generation/configs/async/Llama-3.2-3B-Instruct-Turbo.yaml create mode 100644 commit_message_generation/configs/async/Llama-3.3-70B-Instruct-Turbo.yaml create mode 100644 commit_message_generation/configs/async/QwQ-32B-Preview.yaml create mode 100644 commit_message_generation/configs/async/Qwen2.5-Coder-32B-Instruct.yaml create mode 100644 commit_message_generation/configs/async/gpt-4o-2024-11-20.yaml create mode 100644 commit_message_generation/configs/async/gpt-4o-mini-2024-07-18.yaml create mode 100644 commit_message_generation/configs/async/o1-mini-2024-09-12-16k-files.yaml create mode 100644 commit_message_generation/configs/async/o1-mini-2024-09-12-16k.yaml create mode 100644 commit_message_generation/configs/async/o1-mini-2024-09-12-32k-files.yaml create mode 100644 commit_message_generation/configs/async/o1-mini-2024-09-12-4k-files.yaml create mode 100644 commit_message_generation/configs/async/o1-mini-2024-09-12-4k.yaml create mode 100644 commit_message_generation/configs/async/o1-mini-2024-09-12-64k-files.yaml create mode 100644 commit_message_generation/configs/async/o1-mini-2024-09-12-8k-files.yaml create mode 100644 commit_message_generation/configs/async/o1-mini-2024-09-12-8k.yaml create mode 100644 commit_message_generation/configs/async/o1-mini-2024-09-12.yaml create mode 100644 commit_message_generation/configs/async/o1-preview-2024-09-12.yaml create mode 100644 commit_message_generation/configs/retrieval/DeepSeek-V3-files.yaml create mode 100644 commit_message_generation/configs/retrieval/DeepSeek-V3-retrieval.yaml create mode 100644 commit_message_generation/run_preprocessor.py create mode 100644 commit_message_generation/src/backbones/deepseek_backbone.py create mode 100644 commit_message_generation/src/backbones/together_backbone.py create mode 100644 commit_message_generation/src/preprocessors/full_files_preprocessor.py create mode 100644 commit_message_generation/src/preprocessors/load_from_dataset_preprocessor.py create mode 100644 commit_message_generation/src/preprocessors/retrieval_preprocessor.py create mode 100644 commit_message_generation/src/retrieval/__init__.py create mode 100644 commit_message_generation/src/retrieval/hf_document_loader.py create mode 100644 commit_message_generation/src/utils/git_utils.py diff --git a/commit_message_generation/Makefile b/commit_message_generation/Makefile new file mode 100644 index 0000000..cff2b60 --- /dev/null +++ b/commit_message_generation/Makefile @@ -0,0 +1,7 @@ +format: + poetry run ruff format --config pyproject.toml + poetry run ruff check --fix --config pyproject.toml +lint: + poetry run ruff format --check --config pyproject.toml + poetry run ruff check --config pyproject.toml + poetry run mypy --config-file pyproject.toml . \ No newline at end of file diff --git a/commit_message_generation/README.md b/commit_message_generation/README.md index 42a7847..d33ccf3 100644 --- a/commit_message_generation/README.md +++ b/commit_message_generation/README.md @@ -32,14 +32,22 @@ This baseline consists of the following configurable components: 💛 Click here to view the currently supported options for each component. * **Models / Backbones:** - * Models from OpenAI API: implemented as [`OpenAIBackbone`](src/backbones/openai_backbone.py) class - * Models from 🤗 HuggingFace Hub: implemented as [`HuggingFaceBackbone`](src/backbones/hf_backbone.py) class + * Models from [OpenAI API](https://platform.openai.com/docs/overview): implemented as [`OpenAIBackbone`](src/backbones/openai_backbone.py) class + * Models from 🤗 [HuggingFace Hub](https://huggingface.co/): implemented as [`HuggingFaceBackbone`](src/backbones/hf_backbone.py) class + * Models from [Together API](https://www.together.ai/): implemented as [`TogetherBackbone`](src/backbones/together_backbone.py) class + * Models from [DeepSeek API](https://www.together.ai/): implemented as [`DeepSeekBackbone`](src/backbones/deepseek_backbone.py) class * **Preprocessors:** * Simple preprocessing: implemented as [`SimpleCMGPreprocessor`](src/preprocessors/simple_diff_preprocessor.py) class * Simple preprocessing + truncation: implemented as [`TruncationCMGPreprocessor`](src/preprocessors/truncation_diff_preprocessor.py) class + * BM25 retrieval: implemented as [`RetrievalCMGPreprocessor`](src/preprocessors/retrieval_preprocessor.py) class + * Full modified files contents instead of diffs: implemented as [`FullFilesCMGPreprocessor`](src/preprocessors/full_files_preprocessor.py) class + * Utility preprocessor that loads prebuilt contexts from a HF dataset: implemented as [`LoadFromDatasetPreprocessor`](src/preprocessors/load_from_dataset_preprocessor.py) class + * **Prompts:** * Plain zero-shot prompt: implemented as [`SimpleCMGPrompt`](src/prompts/prompts.py) class * Detailed zero-shot prompt: implemented as [`DetailedCMGPrompt`](src/prompts/prompts.py) class + * Detailed zero-shot prompt for Diff + BM25 setting: implemented as [`DetailedCMGPromptWContext`](src/prompts/prompts.py) class + * Detailed zero-shot prompt for Full File setting: implemented as [`DetailedCMGPromptForFullFiles`](src/prompts/prompts.py) class We also provide several `.yaml` configs as examples (see [Available Examples](#available-examples) section). @@ -55,12 +63,27 @@ The main running script is [`run_baseline.py`](run_baseline.py). In both cases, you can also add command-line arguments using [Hydra's override feature](https://hydra.cc/docs/advanced/override_grammar/basic/) (see [Available Examples](#available-examples) section for examples). +> There is also an asynchronous version [`arun_baseline.py`](arun_baseline.py). The main difference is that it always expects a YAML config to be stored under [`configs/async`](configs/async) and doesn't use override from Hydra. +> +> * If you use Poetry, run: `poetry run python arun_baseline.py --config-name {your-config-basename}` +> * Otherwise, run: `python arun_baseline.py --config-name {your-config-basename}` + +Additionally, there is a script that launches only preprocessor and saves preprocessed contexts for each commit. +It could be used in cases when preprocessing is sophisticated enough to do it on the fly (e.g., with retrieval). + +* If you use Poetry, run: `poetry run python run_preprocessor.py` +* Otherwise, run: `python run_preprocessor.py` + +In both cases, you can also add command-line arguments using [Hydra's override feature](https://hydra.cc/docs/advanced/override_grammar/basic/) (see [Available Examples](#available-examples) section for examples). + # Available examples Together with the dataset, we release the results for several models. They were obtained using this repository, and we provide the exact commands for each of them as well as `.yaml` configs examples under [`configs/examples`](configs/examples) folder. +Note that there are no commands for newer models from our experiments. See also [`configs/async`](configs/async) for models that were launched with [`arun_baseline.py`](arun_baseline.py) and [`configs/retrieval`](configs/retrieval) for runs that saved preprocessed contexts via [`run_preprocessor.py`](run_preprocessor.py). + **Note.** The configs and the commands are provided for a single seed value, which is controlled by `backbone.parameters.seed` for OpenAI models and `backbone.seed` for models from HuggingFace Hub. We averaged the results across three seeds. For convenience, you can use [Hydra's multi-run functionality](https://hydra.cc/docs/tutorials/basic/running_your_app/multi-run/) to launch three subsequent runs with different seeds. ## OpenAI models diff --git a/commit_message_generation/arun_baseline.py b/commit_message_generation/arun_baseline.py new file mode 100644 index 0000000..23a289f --- /dev/null +++ b/commit_message_generation/arun_baseline.py @@ -0,0 +1,140 @@ +import asyncio +import json +import logging +import os +import random +import sys +from argparse import ArgumentParser +from typing import Any, Dict + +import hydra +import jsonlines +import pandas as pd # type: ignore[import-untyped] +import wandb +from dotenv import load_dotenv +from hydra import compose, initialize +from omegaconf import OmegaConf +from tqdm import tqdm # type: ignore[import-untyped] + +from configs import BaselineConfig +from src import CMGBackbone, CMGBaseline, CMGMetrics + +load_dotenv() + +root = logging.getLogger() +root.setLevel(logging.INFO) +handler = logging.StreamHandler(sys.stdout) +formatter = logging.Formatter("[%(asctime)s][%(name)s][%(levelname)s] - %(message)s") +handler.setFormatter(formatter) +root.addHandler(handler) + + +def init_baseline(cfg: BaselineConfig) -> CMGBaseline: + # init backbone + backbone: CMGBackbone = hydra.utils.instantiate(cfg.backbone) + + # init preprocessor + preprocessor = hydra.utils.instantiate( + cfg.preprocessor, model_name=cfg.backbone.model_name, model_provider=backbone.name + ) + + return CMGBaseline(backbone=backbone, preprocessor=preprocessor) + + +async def get_predictions( + baseline: CMGBaseline, cfg: BaselineConfig, predictions_path: str = "predictions.jsonl" +) -> str: + # init iterator (either over local file or over HuggingFace dataset) + if hasattr(cfg.data_src, "path"): + cfg.data_src.path = hydra.utils.to_absolute_path(cfg.data_src.path) # type: ignore[attr-defined] + reader = hydra.utils.instantiate(cfg.data_src) + + async def _get_prediction(line: Dict[str, Any]) -> None: + baseline_output = await baseline.agenerate_msg(commit=line) # type: ignore[arg-type] + cur_example = {"reference": line["message"], "hash": line["hash"], "repo": line["repo"]} + cur_example.update(baseline_output) + + with jsonlines.open(predictions_path, "a") as writer: + writer.write(cur_example) + + return None + + # get predictions for all input examples + open(predictions_path, "w").close() + tasks = [_get_prediction(line) for line in reader] + await asyncio.gather(*tasks) + return predictions_path + + +def compute_metrics(predictions_path: str) -> Dict[str, float]: + metrics = CMGMetrics() + with jsonlines.open(predictions_path, "r") as reader: + for example in tqdm(reader, desc="Computing metrics"): + metrics.update(predictions=[example["prediction"]], references=[example["reference"]]) + computed_metrics = metrics.compute() + print("=== METRICS ===") + print(computed_metrics) + return computed_metrics + + +async def main(config_name: str) -> None: + initialize(version_base="1.1", config_path="configs/async") + cfg_dict = compose(config_name=config_name) + cfg = BaselineConfig(**cfg_dict) # type: ignore + + os.makedirs(f"results/{config_name[: -len('.yaml')]}", exist_ok=True) + + if hasattr(cfg.backbone, "seed") and cfg.backbone.seed is None: + cfg.backbone.seed = random.randint(1, 2**32) + logging.warning(f"Using random seed {cfg.backbone.seed}.") + + # init W&B (optional) + if cfg.logger.use_wandb: + wandb.init( + project=cfg.logger.project, + name=cfg.logger.name, + config=OmegaConf.to_container(cfg, resolve=True), # type: ignore[arg-type] + job_type="eval", + ) + + # init baseline + baseline = init_baseline(cfg) + + # obtain predictions + predictions_path = await get_predictions( + cfg=cfg, baseline=baseline, predictions_path=f"results/{config_name[: -len('.yaml')]}/predictions.jsonl" + ) + + # log predictions to W&B (optional) + if cfg.logger.use_wandb: + artifact = wandb.Artifact( + f"{cfg.backbone.model_name.replace('/', '__')}_{cfg.preprocessor._target_.split('.')[-1]}_{cfg.logger.name + '_' if cfg.logger.name else ''}predictions", + type="dataset", + ) + if cfg.logger.local_artifact: + artifact.add_reference(f"file:///{os.path.abspath(predictions_path)}") + else: + test_table = wandb.Table(dataframe=pd.read_json(predictions_path, orient="records", lines=True)) + artifact.add(test_table, "predictions") + wandb.log_artifact(artifact) + + # compute metrics + computed_metrics = compute_metrics(predictions_path) + with open(f"results/{config_name[: -len('.yaml')]}/metrics.json", "w") as f: + json.dump(computed_metrics, f) + + # log metrics to W&B (optional) + if cfg.logger.use_wandb: + wandb.log(computed_metrics) + + +if __name__ == "__main__": + parser = ArgumentParser( + description="Launch a commit message generation model for Long Code Arena dataset asynchronously." + ) + parser.add_argument( + "--config-name", type=str, help="Which config under `configs/async` directory to use.", required=True + ) + args = parser.parse_args() + + asyncio.run(main(args.config_name)) diff --git a/commit_message_generation/configs/async/DeepSeek-R1.yaml b/commit_message_generation/configs/async/DeepSeek-R1.yaml new file mode 100644 index 0000000..d839d08 --- /dev/null +++ b/commit_message_generation/configs/async/DeepSeek-R1.yaml @@ -0,0 +1,23 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPrompt + model_name: deepseek-ai/DeepSeek-R1 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.SimpleCMGPreprocessor + include_path: true +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/DeepSeek-V3-16k-files.yaml b/commit_message_generation/configs/async/DeepSeek-V3-16k-files.yaml new file mode 100644 index 0000000..2580918 --- /dev/null +++ b/commit_message_generation/configs/async/DeepSeek-V3-16k-files.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptForFullFiles + model_name: deepseek-ai/DeepSeek-V3 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "full_files" + hf_repo_split: "16k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/DeepSeek-V3-16k.yaml b/commit_message_generation/configs/async/DeepSeek-V3-16k.yaml new file mode 100644 index 0000000..63a9fbf --- /dev/null +++ b/commit_message_generation/configs/async/DeepSeek-V3-16k.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptWContext + model_name: deepseek-ai/DeepSeek-V3 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "retrieval_bm25" + hf_repo_split: "16k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/DeepSeek-V3-32k.yaml b/commit_message_generation/configs/async/DeepSeek-V3-32k.yaml new file mode 100644 index 0000000..e820d31 --- /dev/null +++ b/commit_message_generation/configs/async/DeepSeek-V3-32k.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptWContext + model_name: deepseek-ai/DeepSeek-V3 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "retrieval_bm25" + hf_repo_split: "32k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/DeepSeek-V3-4k-files.yaml b/commit_message_generation/configs/async/DeepSeek-V3-4k-files.yaml new file mode 100644 index 0000000..61f5a62 --- /dev/null +++ b/commit_message_generation/configs/async/DeepSeek-V3-4k-files.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptForFullFiles + model_name: deepseek-ai/DeepSeek-V3 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "full_files" + hf_repo_split: "4k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/DeepSeek-V3-4k.yaml b/commit_message_generation/configs/async/DeepSeek-V3-4k.yaml new file mode 100644 index 0000000..83f5acb --- /dev/null +++ b/commit_message_generation/configs/async/DeepSeek-V3-4k.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptWContext + model_name: deepseek-ai/DeepSeek-V3 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "retrieval_bm25" + hf_repo_split: "4k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/DeepSeek-V3-64k.yaml b/commit_message_generation/configs/async/DeepSeek-V3-64k.yaml new file mode 100644 index 0000000..45e7a3c --- /dev/null +++ b/commit_message_generation/configs/async/DeepSeek-V3-64k.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptWContext + model_name: deepseek-ai/DeepSeek-V3 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "retrieval_bm25" + hf_repo_split: "64k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/DeepSeek-V3-8k-files.yaml b/commit_message_generation/configs/async/DeepSeek-V3-8k-files.yaml new file mode 100644 index 0000000..4e30a3e --- /dev/null +++ b/commit_message_generation/configs/async/DeepSeek-V3-8k-files.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptForFullFiles + model_name: deepseek-ai/DeepSeek-V3 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "full_files" + hf_repo_split: "8k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/DeepSeek-V3-8k.yaml b/commit_message_generation/configs/async/DeepSeek-V3-8k.yaml new file mode 100644 index 0000000..8f412eb --- /dev/null +++ b/commit_message_generation/configs/async/DeepSeek-V3-8k.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptWContext + model_name: deepseek-ai/DeepSeek-V3 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "retrieval_bm25" + hf_repo_split: "8k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/DeepSeek-V3.yaml b/commit_message_generation/configs/async/DeepSeek-V3.yaml new file mode 100644 index 0000000..092d25f --- /dev/null +++ b/commit_message_generation/configs/async/DeepSeek-V3.yaml @@ -0,0 +1,23 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPrompt + model_name: deepseek-ai/DeepSeek-V3 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.SimpleCMGPreprocessor + include_path: true +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/Llama-3.1-405B-Instruct-Turbo.yaml b/commit_message_generation/configs/async/Llama-3.1-405B-Instruct-Turbo.yaml new file mode 100644 index 0000000..3360447 --- /dev/null +++ b/commit_message_generation/configs/async/Llama-3.1-405B-Instruct-Turbo.yaml @@ -0,0 +1,23 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPrompt + model_name: meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.SimpleCMGPreprocessor + include_path: true +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/Llama-3.1-70B-Instruct-Turbo.yaml b/commit_message_generation/configs/async/Llama-3.1-70B-Instruct-Turbo.yaml new file mode 100644 index 0000000..41a735c --- /dev/null +++ b/commit_message_generation/configs/async/Llama-3.1-70B-Instruct-Turbo.yaml @@ -0,0 +1,23 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPrompt + model_name: meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.SimpleCMGPreprocessor + include_path: true +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/Llama-3.1-8B-Instruct-Turbo.yaml b/commit_message_generation/configs/async/Llama-3.1-8B-Instruct-Turbo.yaml new file mode 100644 index 0000000..dae10f2 --- /dev/null +++ b/commit_message_generation/configs/async/Llama-3.1-8B-Instruct-Turbo.yaml @@ -0,0 +1,23 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPrompt + model_name: meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.SimpleCMGPreprocessor + include_path: true +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/Llama-3.2-3B-Instruct-Turbo.yaml b/commit_message_generation/configs/async/Llama-3.2-3B-Instruct-Turbo.yaml new file mode 100644 index 0000000..889c286 --- /dev/null +++ b/commit_message_generation/configs/async/Llama-3.2-3B-Instruct-Turbo.yaml @@ -0,0 +1,23 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPrompt + model_name: meta-llama/Llama-3.2-3B-Instruct-Turbo + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.SimpleCMGPreprocessor + include_path: true +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/Llama-3.3-70B-Instruct-Turbo.yaml b/commit_message_generation/configs/async/Llama-3.3-70B-Instruct-Turbo.yaml new file mode 100644 index 0000000..6f0cc76 --- /dev/null +++ b/commit_message_generation/configs/async/Llama-3.3-70B-Instruct-Turbo.yaml @@ -0,0 +1,23 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPrompt + model_name: meta-llama/Llama-3.3-70B-Instruct-Turbo + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.SimpleCMGPreprocessor + include_path: true +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/QwQ-32B-Preview.yaml b/commit_message_generation/configs/async/QwQ-32B-Preview.yaml new file mode 100644 index 0000000..fd45428 --- /dev/null +++ b/commit_message_generation/configs/async/QwQ-32B-Preview.yaml @@ -0,0 +1,23 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPrompt + model_name: Qwen/QwQ-32B-Preview + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.SimpleCMGPreprocessor + include_path: true +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/Qwen2.5-Coder-32B-Instruct.yaml b/commit_message_generation/configs/async/Qwen2.5-Coder-32B-Instruct.yaml new file mode 100644 index 0000000..80e5862 --- /dev/null +++ b/commit_message_generation/configs/async/Qwen2.5-Coder-32B-Instruct.yaml @@ -0,0 +1,23 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPrompt + model_name: Qwen/Qwen2.5-Coder-32B-Instruct + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.SimpleCMGPreprocessor + include_path: true +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/gpt-4o-2024-11-20.yaml b/commit_message_generation/configs/async/gpt-4o-2024-11-20.yaml new file mode 100644 index 0000000..e876298 --- /dev/null +++ b/commit_message_generation/configs/async/gpt-4o-2024-11-20.yaml @@ -0,0 +1,23 @@ +backbone: + _target_: src.backbones.OpenAIBackbone + prompt: + _target_: src.prompts.DetailedCMGPrompt + model_name: gpt-4o-2024-11-20 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.SimpleCMGPreprocessor + include_path: true +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/gpt-4o-mini-2024-07-18.yaml b/commit_message_generation/configs/async/gpt-4o-mini-2024-07-18.yaml new file mode 100644 index 0000000..a361075 --- /dev/null +++ b/commit_message_generation/configs/async/gpt-4o-mini-2024-07-18.yaml @@ -0,0 +1,23 @@ +backbone: + _target_: src.backbones.OpenAIBackbone + prompt: + _target_: src.prompts.DetailedCMGPrompt + model_name: gpt-4o-mini-2024-07-18 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.SimpleCMGPreprocessor + include_path: true +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/o1-mini-2024-09-12-16k-files.yaml b/commit_message_generation/configs/async/o1-mini-2024-09-12-16k-files.yaml new file mode 100644 index 0000000..9f26918 --- /dev/null +++ b/commit_message_generation/configs/async/o1-mini-2024-09-12-16k-files.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.OpenAIBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptForFullFiles + model_name: o1-mini-2024-09-12 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "full_files" + hf_repo_split: "16k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/o1-mini-2024-09-12-16k.yaml b/commit_message_generation/configs/async/o1-mini-2024-09-12-16k.yaml new file mode 100644 index 0000000..8865eb1 --- /dev/null +++ b/commit_message_generation/configs/async/o1-mini-2024-09-12-16k.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.OpenAIBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptWContext + model_name: o1-mini-2024-09-12 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "retrieval_bm25" + hf_repo_split: "16k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/o1-mini-2024-09-12-32k-files.yaml b/commit_message_generation/configs/async/o1-mini-2024-09-12-32k-files.yaml new file mode 100644 index 0000000..1663f1e --- /dev/null +++ b/commit_message_generation/configs/async/o1-mini-2024-09-12-32k-files.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.OpenAIBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptForFullFiles + model_name: o1-mini-2024-09-12 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "full_files" + hf_repo_split: "32k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/o1-mini-2024-09-12-4k-files.yaml b/commit_message_generation/configs/async/o1-mini-2024-09-12-4k-files.yaml new file mode 100644 index 0000000..aed488b --- /dev/null +++ b/commit_message_generation/configs/async/o1-mini-2024-09-12-4k-files.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.OpenAIBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptForFullFiles + model_name: o1-mini-2024-09-12 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "full_files" + hf_repo_split: "4k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/o1-mini-2024-09-12-4k.yaml b/commit_message_generation/configs/async/o1-mini-2024-09-12-4k.yaml new file mode 100644 index 0000000..c50201f --- /dev/null +++ b/commit_message_generation/configs/async/o1-mini-2024-09-12-4k.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.OpenAIBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptWContext + model_name: o1-mini-2024-09-12 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "retrieval_bm25" + hf_repo_split: "4k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/o1-mini-2024-09-12-64k-files.yaml b/commit_message_generation/configs/async/o1-mini-2024-09-12-64k-files.yaml new file mode 100644 index 0000000..40ce8d2 --- /dev/null +++ b/commit_message_generation/configs/async/o1-mini-2024-09-12-64k-files.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.OpenAIBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptForFullFiles + model_name: o1-mini-2024-09-12 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "full_files" + hf_repo_split: "64k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/o1-mini-2024-09-12-8k-files.yaml b/commit_message_generation/configs/async/o1-mini-2024-09-12-8k-files.yaml new file mode 100644 index 0000000..c7e4a0b --- /dev/null +++ b/commit_message_generation/configs/async/o1-mini-2024-09-12-8k-files.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.OpenAIBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptForFullFiles + model_name: o1-mini-2024-09-12 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "full_files" + hf_repo_split: "8k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/o1-mini-2024-09-12-8k.yaml b/commit_message_generation/configs/async/o1-mini-2024-09-12-8k.yaml new file mode 100644 index 0000000..31a9701 --- /dev/null +++ b/commit_message_generation/configs/async/o1-mini-2024-09-12-8k.yaml @@ -0,0 +1,26 @@ +backbone: + _target_: src.backbones.OpenAIBackbone + prompt: + _target_: src.prompts.DetailedCMGPromptWContext + model_name: o1-mini-2024-09-12 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.LoadFromDatasetPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_repo_config: "retrieval_bm25" + hf_repo_split: "8k" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/o1-mini-2024-09-12.yaml b/commit_message_generation/configs/async/o1-mini-2024-09-12.yaml new file mode 100644 index 0000000..17e52fa --- /dev/null +++ b/commit_message_generation/configs/async/o1-mini-2024-09-12.yaml @@ -0,0 +1,23 @@ +backbone: + _target_: src.backbones.OpenAIBackbone + prompt: + _target_: src.prompts.DetailedCMGPrompt + model_name: o1-mini-2024-09-12 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.SimpleCMGPreprocessor + include_path: true +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/async/o1-preview-2024-09-12.yaml b/commit_message_generation/configs/async/o1-preview-2024-09-12.yaml new file mode 100644 index 0000000..06f97d9 --- /dev/null +++ b/commit_message_generation/configs/async/o1-preview-2024-09-12.yaml @@ -0,0 +1,23 @@ +backbone: + _target_: src.backbones.OpenAIBackbone + prompt: + _target_: src.prompts.DetailedCMGPrompt + model_name: o1-preview-2024-09-12 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.SimpleCMGPreprocessor + include_path: true +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/backbones_configs.py b/commit_message_generation/configs/backbones_configs.py index 2e76b41..0350ceb 100644 --- a/commit_message_generation/configs/backbones_configs.py +++ b/commit_message_generation/configs/backbones_configs.py @@ -32,6 +32,38 @@ class OpenAIBackboneConfig(BackboneConfig): parameters: Dict[str, Any] = field(default_factory=lambda: {}) +@dataclass +class TogetherBackboneConfig(BackboneConfig): + """Config for instantiating a Together backbone. + + Attributes: + model_name: Name for LLM profile to use in Together API. + prompt: Name for one of the supported prompt configurations. + api_key: Together API key (optional, by default, TOGETHER_API_KEY env variable is used). + parameters: Arbitrary keyword parameters that can be passed to the corresponding endpoint. + """ + + _target_: str = f"{BASELINES_CLASSES_ROOT_PKG}.backbones.TogetherBackbone" + api_key: Optional[str] = None + parameters: Dict[str, Any] = field(default_factory=lambda: {}) + + +@dataclass +class DeepSeekBackboneConfig(BackboneConfig): + """Config for instantiating a DeepSeek backbone. + + Attributes: + model_name: Name for LLM profile to use in DeepSeek API. + prompt: Name for one of the supported prompt configurations. + api_key: DeepSeek API key (optional, by default, DEEPSEEK_API_KEY env variable is used). + parameters: Arbitrary keyword parameters that can be passed to the corresponding endpoint. + """ + + _target_: str = f"{BASELINES_CLASSES_ROOT_PKG}.backbones.DeepSeekBackbone" + api_key: Optional[str] = None + parameters: Dict[str, Any] = field(default_factory=lambda: {}) + + @dataclass class HFModelConfig: """Config for initializing a HuggingFace model. Includes some options; the rest can be added via Hydra's override diff --git a/commit_message_generation/configs/baseline_config.py b/commit_message_generation/configs/baseline_config.py index 1c11ea8..a107ef7 100644 --- a/commit_message_generation/configs/baseline_config.py +++ b/commit_message_generation/configs/baseline_config.py @@ -4,9 +4,20 @@ from hydra.core.config_store import ConfigStore from omegaconf import MISSING -from .backbones_configs import BackboneConfig, HFBackboneConfig, OpenAIBackboneConfig +from .backbones_configs import ( + BackboneConfig, + DeepSeekBackboneConfig, + HFBackboneConfig, + OpenAIBackboneConfig, + TogetherBackboneConfig, +) from .data_sources_configs import DataSourceConfig, HFDataSourceConfig, LocalFileDataSourceConfig -from .preprocessor_configs import BasePreprocessorConfig, SimpleCMGDiffPreprocessor, TruncationCMGDiffPreprocessor +from .preprocessor_configs import ( + BasePreprocessorConfig, + RetrivalCMGPreprocessorConfig, + SimpleCMGDiffPreprocessor, + TruncationCMGDiffPreprocessor, +) from .prompts_configs import DetailedPrompt, SimplePrompt @@ -51,12 +62,15 @@ class BaselineConfig: # all available options for the backbone cs.store(name="openai", group="backbone", node=OpenAIBackboneConfig) cs.store(name="hf", group="backbone", node=HFBackboneConfig) +cs.store(name="together", group="backbone", node=TogetherBackboneConfig) +cs.store(name="deepseek", group="backbone", node=DeepSeekBackboneConfig) # all available options for the prompt cs.store(name="simple", group="backbone/prompt", node=SimplePrompt) cs.store(name="detailed", group="backbone/prompt", node=DetailedPrompt) # all available options for the preprocessor cs.store(name="simple", group="preprocessor", node=SimpleCMGDiffPreprocessor) cs.store(name="truncation", group="preprocessor", node=TruncationCMGDiffPreprocessor) +cs.store(name="retrieval", group="preprocessor", node=RetrivalCMGPreprocessorConfig) # all available options for the input cs.store(name="local", group="data_src", node=LocalFileDataSourceConfig) cs.store(name="hf", group="data_src", node=HFDataSourceConfig) diff --git a/commit_message_generation/configs/preprocessor_configs.py b/commit_message_generation/configs/preprocessor_configs.py index 190ef62..c939f8c 100644 --- a/commit_message_generation/configs/preprocessor_configs.py +++ b/commit_message_generation/configs/preprocessor_configs.py @@ -30,3 +30,25 @@ class TruncationCMGDiffPreprocessor(BasePreprocessorConfig): _target_: str = f"{BASELINES_CLASSES_ROOT_PKG}.preprocessors.TruncationCMGPreprocessor" max_num_tokens: int = MISSING include_path: bool = True + + +@dataclass +class RetrivalCMGPreprocessorConfig(BasePreprocessorConfig): + """Config for instantiating a CMG preprocessor with retrieval.""" + + _target_: str = f"{BASELINES_CLASSES_ROOT_PKG}.preprocessors.RetrievalCMGPreprocessor" + hf_repo_id: str = MISSING + hf_path_in_repo: str = MISSING + max_num_tokens: int = MISSING + local_data_dir: str = "tmp" + include_path: bool = True + + +@dataclass +class LoadFromDatasetPreprocessorConfig(BasePreprocessorConfig): + """Config to load preprocessed data from HF dataset.""" + + _target_: str = f"{BASELINES_CLASSES_ROOT_PKG}.preprocessors.LoadFromDatasetPreprocessor" + hf_repo_id: str = MISSING + hf_repo_config: str = MISSING + hf_repo_split: int = MISSING diff --git a/commit_message_generation/configs/retrieval/DeepSeek-V3-files.yaml b/commit_message_generation/configs/retrieval/DeepSeek-V3-files.yaml new file mode 100644 index 0000000..bbf2ab7 --- /dev/null +++ b/commit_message_generation/configs/retrieval/DeepSeek-V3-files.yaml @@ -0,0 +1,29 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPrompt + model_name: deepseek-ai/DeepSeek-V3 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.FullFilesCMGPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_path_in_repo: "repos" + local_data_dir: "tmp" + max_num_tokens: 64000 + model_name: "deepseek-ai/DeepSeek-V3" + model_provider: "huggingface" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/configs/retrieval/DeepSeek-V3-retrieval.yaml b/commit_message_generation/configs/retrieval/DeepSeek-V3-retrieval.yaml new file mode 100644 index 0000000..f586bfa --- /dev/null +++ b/commit_message_generation/configs/retrieval/DeepSeek-V3-retrieval.yaml @@ -0,0 +1,29 @@ +backbone: + _target_: src.backbones.TogetherBackbone + prompt: + _target_: src.prompts.DetailedCMGPrompt + model_name: deepseek-ai/DeepSeek-V3 + api_key: null + parameters: + temperature: 0.8 +preprocessor: + _target_: src.preprocessors.RetrievalCMGPreprocessor + include_path: true + hf_repo_id: "JetBrains-Research/lca-commit-message-generation" + hf_path_in_repo: "repos" + local_data_dir: "tmp" + max_num_tokens: 16000 + model_name: "deepseek-ai/DeepSeek-V3" + model_provider: "huggingface" +logger: + use_wandb: false + name: null + project: null + local_artifact: null +data_src: + _target_: src.data_sources.HFDataSource + cache_dir: null + hub_name: JetBrains-Research/lca-commit-message-generation + configs: + - default + split: test diff --git a/commit_message_generation/notebooks/cmg_data_stats.ipynb b/commit_message_generation/notebooks/cmg_data_stats.ipynb index 7df0754..daff9ba 100644 --- a/commit_message_generation/notebooks/cmg_data_stats.ipynb +++ b/commit_message_generation/notebooks/cmg_data_stats.ipynb @@ -2,30 +2,30 @@ "cells": [ { "cell_type": "markdown", - "source": [ - "# Statistics for Commit Message Generation dataset from Long Code Arena" - ], + "id": "8994451ee581764c", "metadata": { "collapsed": false }, - "id": "8994451ee581764c" + "source": [ + "# Statistics for Commit Message Generation dataset from Long Code Arena" + ] }, { "cell_type": "code", "execution_count": 2, "id": "initial_id", "metadata": { - "collapsed": true, "ExecuteTime": { "end_time": "2024-06-05T16:56:27.080564Z", "start_time": "2024-06-05T16:56:21.289757Z" - } + }, + "collapsed": true }, "outputs": [ { "data": { - "text/plain": " hash repo date \\\n0 c27d31c06520c3df4c820ea10d5d16316f4d88cb cupy/cupy 19.07.2017 16:24:41 \n1 6683a9aa7bae67e855cd9d1f17fdc49eb3f6dea0 cupy/cupy 17.06.2020 22:41:09 \n2 dad51485282b6e05c4993b0733bd54aa3c0bacef cupy/cupy 12.01.2021 16:21:46 \n3 76eb888612183768d9e1b0c818fcf5416c5f28c7 cupy/cupy 20.01.2021 18:25:20 \n4 994ce07595026d5de54f52ef5748b578f9fae1bc cupy/cupy 09.07.2021 13:57:44 \n\n license message \\\n0 MIT License Support CUDA stream on memory pool\\n\\nNow, mem... \n1 MIT License Complete overhaul of filter testing.\\n\\nThese ... \n2 MIT License Use \"import numpy as np\" in the array_api subm... \n3 MIT License Use _implementation on all functions that have... \n4 MIT License Use better type signatures in the array API mo... \n\n mods \n0 [{'change_type': 'MODIFY', 'old_path': 'cupy/c... \n1 [{'change_type': 'MODIFY', 'old_path': 'tests/... \n2 [{'change_type': 'MODIFY', 'old_path': 'numpy/... \n3 [{'change_type': 'MODIFY', 'old_path': 'numpy/... \n4 [{'change_type': 'MODIFY', 'old_path': 'numpy/... 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", + "text/plain": " count mean std min 1% 5% 10% \\\nnum_characters_msg 163.0 199.957055 63.854614 86.0 96.1 114.0 123.2 \nnum_words_msg 163.0 28.797546 9.930101 9.0 11.0 15.0 16.0 \nnum_lines_msg 163.0 4.638037 1.400274 2.0 2.0 3.0 3.0 \n\n 25% 50% 75% 90% 95% 99% max \nnum_characters_msg 148.0 188.0 242.0 290.0 315.9 355.80 367.0 \nnum_words_msg 21.5 28.0 36.0 43.0 45.9 51.38 58.0 \nnum_lines_msg 4.0 4.0 5.0 7.0 7.0 8.38 9.0 " }, "execution_count": 5, "metadata": {}, @@ -122,34 +131,34 @@ "df[[\"num_characters_msg\", \"num_words_msg\", \"num_lines_msg\"]].describe(\n", " percentiles=[0.01, 0.05, 0.1, 0.25, 0.5, 0.75, 0.9, 0.95, 0.99]\n", ").T" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-06-05T16:56:27.134214Z", - "start_time": "2024-06-05T16:56:27.104327Z" - } - }, - "id": "cf07b2d3708d61f4", - "execution_count": 5 + ] }, { "cell_type": "markdown", - "source": [ - "## Diffs" - ], + "id": "cb83a819ac6fa374", "metadata": { "collapsed": false }, - "id": "cb83a819ac6fa374" + "source": [ + "## Diffs" + ] }, { "cell_type": "code", + "execution_count": 6, + "id": "f920b14ca39629e9", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-05T16:56:27.176036Z", + "start_time": "2024-06-05T16:56:27.124321Z" + }, + "collapsed": false + }, "outputs": [ { "data": { - "text/plain": " count mean std min 1% 5% \\\nnum_modified_files 163.0 3.417178 2.617170 1.0 1.00 1.0 \nnum_characters_diff 163.0 8697.766871 6055.710918 3346.0 3363.20 3470.5 \nnum_words_diff 163.0 2086.349693 1553.492646 388.0 608.46 720.7 \nnum_lines_diff 163.0 212.453988 146.325791 67.0 72.48 81.1 \n\n 10% 25% 50% 75% 90% 95% \\\nnum_modified_files 1.0 2.0 3.0 4.0 7.0 8.9 \nnum_characters_diff 3825.2 4863.5 6639.0 10020.0 17010.4 21030.3 \nnum_words_diff 823.6 1039.0 1608.0 2414.0 4077.6 4842.8 \nnum_lines_diff 92.8 113.5 159.0 248.0 413.8 499.3 \n\n 99% max \nnum_modified_files 12.14 15.0 \nnum_characters_diff 27513.18 41714.0 \nnum_words_diff 7756.82 9645.0 \nnum_lines_diff 710.58 864.0 ", - "text/html": "
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", + "text/plain": " count mean std min 1% 5% \\\nnum_modified_files 163.0 3.417178 2.617170 1.0 1.00 1.0 \nnum_characters_diff 163.0 8697.766871 6055.710918 3346.0 3363.20 3470.5 \nnum_words_diff 163.0 2086.349693 1553.492646 388.0 608.46 720.7 \nnum_lines_diff 163.0 212.453988 146.325791 67.0 72.48 81.1 \n\n 10% 25% 50% 75% 90% 95% \\\nnum_modified_files 1.0 2.0 3.0 4.0 7.0 8.9 \nnum_characters_diff 3825.2 4863.5 6639.0 10020.0 17010.4 21030.3 \nnum_words_diff 823.6 1039.0 1608.0 2414.0 4077.6 4842.8 \nnum_lines_diff 92.8 113.5 159.0 248.0 413.8 499.3 \n\n 99% max \nnum_modified_files 12.14 15.0 \nnum_characters_diff 27513.18 41714.0 \nnum_words_diff 7756.82 9645.0 \nnum_lines_diff 710.58 864.0 " }, "execution_count": 6, "metadata": {}, @@ -165,73 +174,68 @@ "df[[\"num_modified_files\", \"num_characters_diff\", \"num_words_diff\", \"num_lines_diff\"]].describe(\n", " percentiles=[0.01, 0.05, 0.1, 0.25, 0.5, 0.75, 0.9, 0.95, 0.99]\n", ").T" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-06-05T16:56:27.176036Z", - "start_time": "2024-06-05T16:56:27.124321Z" - } - }, - "id": "f920b14ca39629e9", - "execution_count": 6 + ] }, { "cell_type": "markdown", - "source": [ - "## Files" - ], + "id": "2d6f8dc4d4028dad", "metadata": { "collapsed": false }, - "id": "2d6f8dc4d4028dad" + "source": [ + "## Files" + ] }, { "cell_type": "markdown", - "source": [ - "### Utils" - ], + "id": "4d41c63b9cb88b79", "metadata": { "collapsed": false }, - "id": "4d41c63b9cb88b79" + "source": [ + "### Utils" + ] }, { "cell_type": "markdown", - "source": [ - "#### Downloading repositories" - ], + "id": "77378ace39916d7", "metadata": { "collapsed": false }, - "id": "77378ace39916d7" + "source": [ + "#### Downloading repositories" + ] }, { "cell_type": "code", - "outputs": [], - "source": [ - "import os\n", - "\n", - "\n", - "data_dir = \"../data\"" - ], + "execution_count": 15, + "id": "b0d34485b5c78d79", "metadata": { - "collapsed": false, "ExecuteTime": { "end_time": "2024-06-05T16:58:33.079344Z", "start_time": "2024-06-05T16:58:33.076410Z" - } + }, + "collapsed": false }, - "id": "b0d34485b5c78d79", - "execution_count": 15 + "outputs": [], + "source": [ + "import os\n", + "\n", + "data_dir = \"../data\"" + ] }, { "cell_type": "code", + "execution_count": null, + "id": "963581ac977ac3fc", + "metadata": { + "collapsed": false + }, "outputs": [], "source": [ - "from huggingface_hub import list_repo_tree, hf_hub_download\n", "import tarfile\n", "\n", + "from huggingface_hub import hf_hub_download, list_repo_tree\n", "\n", "for repo_file in list_repo_tree(\"JetBrains-Research/lca-commit-message-generation\", \"repos\", repo_type=\"dataset\"):\n", " file_path = hf_hub_download(\n", @@ -243,31 +247,36 @@ "\n", " with tarfile.open(file_path, \"r:gz\") as tar:\n", " tar.extractall(path=os.path.join(data_dir, \"extracted_repos\"))" - ], - "metadata": { - "collapsed": false - }, - "id": "963581ac977ac3fc", - "execution_count": null + ] }, { "cell_type": "markdown", - "source": [ - "### Helper function" - ], + "id": "a3bd3246d1f16d53", "metadata": { "collapsed": false }, - "id": "a3bd3246d1f16d53" + "source": [ + "### Helper function" + ] }, { "cell_type": "code", + "execution_count": 24, + "id": "79ef9015a3976da1", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-05T17:09:43.374599Z", + "start_time": "2024-06-05T17:09:43.368601Z" + }, + "collapsed": false + }, "outputs": [], "source": [ - "import git\n", "from collections import defaultdict\n", "from typing import Dict\n", "\n", + "import git\n", + "\n", "\n", "def get_changed_files_before_commit_stats(repo_path: str, commit_hash: str) -> Dict[str, int]:\n", " repo = git.Repo(repo_path)\n", @@ -368,24 +377,24 @@ " stats[\"num_chars\"] += len(content)\n", " stats[\"num_words\"] += len(content.split(\" \"))\n", " stats[\"num_lines\"] += len(content.split(\"\\n\"))\n", - " except:\n", + " except Exception:\n", " continue\n", "\n", " repo.git.checkout(\"HEAD\", \".\")\n", " return stats" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-06-05T17:09:43.374599Z", - "start_time": "2024-06-05T17:09:43.368601Z" - } - }, - "id": "79ef9015a3976da1", - "execution_count": 24 + ] }, { "cell_type": "code", + "execution_count": 25, + "id": "a93dd5e8b0428fbe", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-05T17:11:14.525387Z", + "start_time": "2024-06-05T17:09:43.939936Z" + }, + "collapsed": false + }, "outputs": [ { "name": "stderr", @@ -436,24 +445,23 @@ "source": [ "from tqdm import tqdm\n", "\n", - "\n", "all_file_stats = []\n", "\n", "for repo, hash in tqdm(zip(df.repo, df.hash), total=len(df)):\n", " all_file_stats.append(get_all_files_stats(os.path.join(data_dir, \"extracted_repos\", repo.replace(\"/\", \"__\")), hash))" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-06-05T17:11:14.525387Z", - "start_time": "2024-06-05T17:09:43.939936Z" - } - }, - "id": "a93dd5e8b0428fbe", - "execution_count": 25 + ] }, { "cell_type": "code", + "execution_count": 26, + "id": "327efc5957e44232", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-05T17:12:11.219659Z", + "start_time": "2024-06-05T17:11:14.525230Z" + }, + "collapsed": false + }, "outputs": [ { "name": "stderr", @@ -505,26 +513,25 @@ "source": [ "from tqdm import tqdm\n", "\n", - "\n", "changed_files_before_commit_stats = []\n", "\n", "for repo, hash in tqdm(zip(df.repo, df.hash), total=len(df)):\n", " changed_files_before_commit_stats.append(\n", " get_changed_files_before_commit_stats(os.path.join(data_dir, \"extracted_repos\", repo.replace(\"/\", \"__\")), hash)\n", " )" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-06-05T17:12:11.219659Z", - "start_time": "2024-06-05T17:11:14.525230Z" - } - }, - "id": "327efc5957e44232", - "execution_count": 26 + ] }, { "cell_type": "code", + "execution_count": 29, + "id": "c366d5eaf2de1965", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-05T17:13:47.031936Z", + "start_time": "2024-06-05T17:12:57.693215Z" + }, + "collapsed": false + }, "outputs": [ { "name": "stderr", @@ -575,7 +582,6 @@ "source": [ "from tqdm import tqdm\n", "\n", - "\n", "changed_files_after_commit_stats = []\n", "\n", "for repo, hash in tqdm(zip(df.repo, df.hash), total=len(df)):\n", @@ -587,19 +593,19 @@ " )\n", " except git.GitCommandError: # TODO: idk what's happening here\n", " continue" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-06-05T17:13:47.031936Z", - "start_time": "2024-06-05T17:12:57.693215Z" - } - }, - "id": "c366d5eaf2de1965", - "execution_count": 29 + ] }, { "cell_type": "code", + "execution_count": 30, + "id": "e12916ded944fc5b", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-05T17:15:07.782471Z", + "start_time": "2024-06-05T17:13:47.028707Z" + }, + "collapsed": false + }, "outputs": [ { "name": "stderr", @@ -676,7 +682,6 @@ "source": [ "from tqdm import tqdm\n", "\n", - "\n", "changed_files_full_stats = []\n", "\n", "for repo, hash in tqdm(zip(df.repo, df.hash), total=len(df)):\n", @@ -686,44 +691,44 @@ " )\n", " except git.GitCommandError:\n", " continue" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-06-05T17:15:07.782471Z", - "start_time": "2024-06-05T17:13:47.028707Z" - } - }, - "id": "e12916ded944fc5b", - "execution_count": 30 + ] }, { "cell_type": "markdown", - "source": [ - 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lock-version = "2.0" python-versions = ">=3.10,<4.0" -content-hash = "dc60f96b1cbf68644b1caa0df519b35de091de2b0645762829419afd7bad4fdd" +content-hash = "76dcb36a83c64c6df6d4364f13b9c38fdd3889f0ffe19b5f6a1761ca4587e871" diff --git a/commit_message_generation/pyproject.toml b/commit_message_generation/pyproject.toml index 7839d68..f86d24a 100644 --- a/commit_message_generation/pyproject.toml +++ b/commit_message_generation/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "lca-baselines-cmg" -version = "0.1.0" +version = "0.1.1" description = "Benchmark for Commit Message Generation task as part of Long Code Arena." authors = [ "Alexandra Eliseeva ", @@ -11,12 +11,9 @@ homepage = "https://github.com/JetBrains-Research/lca-baselines" [tool.poetry.dependencies] python = ">=3.10,<4.0" -torch = "2.0.0" -transformers = "^4.31.0" openai = "^1.3.6" hydra-core = "^1.3.2" -wandb = "^0.15.8" -datasets = "^2.14.2" +wandb = "^0.19.2" jsonlines = "^3.1.0" tiktoken = "^0.4.0" torchmetrics = "^1.2.1" @@ -29,12 +26,21 @@ accelerate = "^0.23.0" optimum = "^1.14.1" scipy = "^1.11.4" backoff = "^2.2.1" +torch = "^2.5.1" +together = "^1.3.11" +python-dotenv = "^1.0.1" +langchain = "^0.3.16" +rank-bm25 = "^0.2.2" +gitpython = "^3.1.44" +langchain-community = "^0.3.16" +chardet = "^5.2.0" +datasets = "^3.2.0" [tool.poetry.group.dev.dependencies] -black = {extras = ["jupyter"], version = "^23.7.0"} isort = "^5.12.0" mypy = "^1.5.0" pytest = "^7.4.0" +ruff = "^0.9.1" [tool.poetry.group.eda.dependencies] jupyter = "^1.0.0" @@ -47,18 +53,24 @@ plotly = "^5.16.1" requires = ["poetry-core"] build-backend = "poetry.core.masonry.api" -[tool.black] +[tool.ruff] line-length = 120 -target-version = ["py310"] +target-version = "py310" +exclude = [ + "src/metrics/reused_implementations/b_norm.py" +] + +[tool.ruff.lint] +extend-select = ["I"] [tool.isort] -line_length = 120 -py_version = 310 profile = "black" +force_sort_within_sections = true +order_by_type = true [tool.mypy] python_version = "3.10" [[tool.mypy.overrides]] module = [] -ignore_missing_imports = true \ No newline at end of file +ignore_missing_imports = true diff --git a/commit_message_generation/run_baseline.py b/commit_message_generation/run_baseline.py index 8df93e0..124d16f 100644 --- a/commit_message_generation/run_baseline.py +++ b/commit_message_generation/run_baseline.py @@ -1,3 +1,4 @@ +import json import logging import os import random @@ -7,11 +8,14 @@ import jsonlines import pandas as pd # type: ignore[import-untyped] import wandb +from dotenv import load_dotenv from omegaconf import OmegaConf from tqdm import tqdm # type: ignore[import-untyped] from configs import BaselineConfig -from src import CMGBackbone, CMGBaseline, CMGMetrics, CMGPreprocessor +from src import CMGBackbone, CMGBaseline, CMGMetrics + +load_dotenv() def init_baseline(cfg: BaselineConfig) -> CMGBaseline: @@ -35,7 +39,7 @@ def get_predictions(baseline: CMGBaseline, cfg: BaselineConfig, predictions_path # get predictions for all input examples open(predictions_path, "w").close() for line in tqdm(reader, "Generating messages"): - baseline_output = baseline.generate_msg(commit_mods=line["mods"]) + baseline_output = baseline.generate_msg(commit=line) assert "prediction" in baseline_output, "Baseline output should contain a prediction." cur_example = {"reference": line["message"], "hash": line["hash"], "repo": line["repo"]} cur_example.update(baseline_output) @@ -95,6 +99,9 @@ def main(cfg: BaselineConfig) -> None: # compute metrics computed_metrics = compute_metrics(predictions_path) + with open("metrics.json", "w") as f: + json.dump(computed_metrics, f) + # log metrics to W&B (optional) if cfg.logger.use_wandb: wandb.log(computed_metrics) diff --git a/commit_message_generation/run_preprocessor.py b/commit_message_generation/run_preprocessor.py new file mode 100644 index 0000000..e008e57 --- /dev/null +++ b/commit_message_generation/run_preprocessor.py @@ -0,0 +1,54 @@ +import hydra +import jsonlines +from dotenv import load_dotenv +from omegaconf import OmegaConf +from tqdm import tqdm # type: ignore[import-untyped] + +from configs import BaselineConfig +from configs.preprocessor_configs import BasePreprocessorConfig +from src import CMGPreprocessor + +load_dotenv() + + +def init_preprocessor(cfg: BasePreprocessorConfig) -> CMGPreprocessor: + if "local_data_dir" in cfg: # type: ignore[operator] + cfg.local_data_dir = hydra.utils.to_absolute_path(cfg.local_data_dir) # type: ignore[attr-defined] + preprocessor = hydra.utils.instantiate(cfg) + return preprocessor + + +def get_predictions( + preprocessor: CMGPreprocessor, cfg: BaselineConfig, predictions_path: str = "predictions.jsonl" +) -> str: + # init iterator (either over local file or over HuggingFace dataset) + if hasattr(cfg.data_src, "path"): + cfg.data_src.path = hydra.utils.to_absolute_path(cfg.data_src.path) # type: ignore[attr-defined] + reader = hydra.utils.instantiate(cfg.data_src) + + # get predictions for all input examples + open(predictions_path, "w").close() + for line in tqdm(reader, "Building inputs"): + baseline_output = preprocessor(line) + cur_example = {"hash": line["hash"], "repo": line["repo"]} + cur_example.update(baseline_output) + + with jsonlines.open(predictions_path, "a") as writer: + writer.write(cur_example) + return predictions_path + + +@hydra.main(version_base="1.1", config_path="configs", config_name="baseline_config") +def main(cfg: BaselineConfig) -> None: + with open("config.yaml", "w") as f: + OmegaConf.save(cfg, f) + + # init baseline + preprocessor = init_preprocessor(cfg.preprocessor) + + # obtain predictions + get_predictions(cfg=cfg, preprocessor=preprocessor) + + +if __name__ == "__main__": + main() diff --git a/commit_message_generation/src/backbones/__init__.py b/commit_message_generation/src/backbones/__init__.py index 4cfe0a3..b3f65bf 100644 --- a/commit_message_generation/src/backbones/__init__.py +++ b/commit_message_generation/src/backbones/__init__.py @@ -1,5 +1,13 @@ from .base_backbone import CMGBackbone +from .deepseek_backbone import DeepSeekBackbone from .hf_backbone import HuggingFaceBackbone from .openai_backbone import OpenAIBackbone +from .together_backbone import TogetherBackbone -__all__ = ["CMGBackbone", "HuggingFaceBackbone", "OpenAIBackbone"] +__all__ = [ + "CMGBackbone", + "OpenAIBackbone", + "HuggingFaceBackbone", + "TogetherBackbone", + "DeepSeekBackbone", +] diff --git a/commit_message_generation/src/backbones/base_backbone.py b/commit_message_generation/src/backbones/base_backbone.py index 1980aeb..22ecab0 100644 --- a/commit_message_generation/src/backbones/base_backbone.py +++ b/commit_message_generation/src/backbones/base_backbone.py @@ -6,5 +6,8 @@ class CMGBackbone(ABC): name: str = "base" @abstractmethod - def generate_msg(self, preprocessed_commit_mods: str, **kwargs) -> Dict[str, Optional[str]]: + def generate_msg(self, preprocessed_commit: Dict[str, str], **kwargs) -> Dict[str, Optional[str]]: pass + + async def agenerate_msg(self, preprocessed_commit: Dict[str, str], **kwargs) -> Dict[str, Optional[str]]: + return self.generate_msg(preprocessed_commit, **kwargs) diff --git a/commit_message_generation/src/backbones/deepseek_backbone.py b/commit_message_generation/src/backbones/deepseek_backbone.py new file mode 100644 index 0000000..daa0971 --- /dev/null +++ b/commit_message_generation/src/backbones/deepseek_backbone.py @@ -0,0 +1,27 @@ +import os +from typing import Any, Dict, Optional + +from src.prompts import CMGPrompt + +from .openai_backbone import OpenAIBackbone + + +class DeepSeekBackbone(OpenAIBackbone): + name: str = "deepseek" + + def __init__( + self, + model_name: str, + prompt: CMGPrompt, + parameters: Dict[str, Any], + api_key: Optional[str] = None, + base_url: Optional[str] = None, + ): + # https://api-docs.deepseek.com/ + super().__init__( + model_name=model_name, + prompt=prompt, + parameters=parameters, + api_key=api_key if api_key else os.environ.get("DEEPSEEK_API_KEY"), + base_url="https://api.deepseek.com", + ) diff --git a/commit_message_generation/src/backbones/hf_backbone.py b/commit_message_generation/src/backbones/hf_backbone.py index dc77c57..7a34797 100644 --- a/commit_message_generation/src/backbones/hf_backbone.py +++ b/commit_message_generation/src/backbones/hf_backbone.py @@ -48,7 +48,7 @@ def __init__( if use_bettertransformer: try: self._model = self._model.to_bettertransformer() - except: + except Exception: logging.warning( "Couldn't convert the model to BetterTransformer, proceeding with default implementation." ) @@ -68,13 +68,18 @@ def __init__( self._prompt = prompt @torch.inference_mode() - def generate_msg(self, preprocessed_commit_mods: str, **kwargs) -> Dict[str, Optional[str]]: + def generate_msg(self, preprocessed_commit: Dict[str, str], **kwargs) -> Dict[str, Optional[str]]: if self._prompt: preprocessed_commit_mods = self._prompt.hf( - preprocessed_commit_mods, + preprocessed_commit, prompt_format=self.MODEL_NAME_TO_PROMPT_FORMAT.get(self._name_or_path, None), tokenizer=self._tokenizer, ) + else: + assert "mods" in preprocessed_commit, ( + "HFBackbone expects 'mods' key to be present after preprocessing if no prompt is given." + ) + preprocessed_commit_mods = preprocessed_commit["mods"] encoding = self._tokenizer(preprocessed_commit_mods, truncation=True, padding=False, return_tensors="pt") predictions = self._model.generate( encoding.input_ids.to(self._device), diff --git a/commit_message_generation/src/backbones/openai_backbone.py b/commit_message_generation/src/backbones/openai_backbone.py index f252364..7f6ae92 100644 --- a/commit_message_generation/src/backbones/openai_backbone.py +++ b/commit_message_generation/src/backbones/openai_backbone.py @@ -3,6 +3,8 @@ import backoff import openai +from openai import AsyncOpenAI, OpenAI +from openai.types.chat import ChatCompletion from src.prompts import CMGPrompt from src.utils import ChatMessage @@ -19,18 +21,28 @@ def __init__( prompt: CMGPrompt, parameters: Dict[str, Any], api_key: Optional[str] = None, + base_url: Optional[str] = None, ): - self._client = openai.OpenAI(api_key=api_key if api_key else os.environ.get("OPENAI_API_KEY")) + self._client = OpenAI(api_key=api_key if api_key else os.environ.get("OPENAI_API_KEY"), base_url=base_url) + self._aclient = AsyncOpenAI(api_key=api_key if api_key else os.environ.get("OPENAI_API_KEY"), base_url=base_url) self._model_name = model_name self._prompt = prompt self._parameters = parameters @backoff.on_exception(backoff.expo, openai.APIError) - def _get_chat_completion(self, messages: List[ChatMessage]) -> openai.types.chat.ChatCompletion: + def _get_chat_completion(self, messages: List[ChatMessage]) -> ChatCompletion: return self._client.chat.completions.create(messages=messages, model=self._model_name, **self._parameters) # type: ignore[arg-type] - def generate_msg(self, preprocessed_commit_mods: str, **kwargs) -> Dict[str, Optional[str]]: - prompt = self._prompt.chat(preprocessed_commit_mods) + @backoff.on_exception(backoff.expo, openai.APIError) + async def _aget_chat_completion(self, messages: List[ChatMessage]) -> ChatCompletion: + return await self._aclient.chat.completions.create( + messages=messages, # type: ignore[arg-type] + model=self._model_name, + **self._parameters, + ) + + def generate_msg(self, preprocessed_commit: Dict[str, str], **kwargs) -> Dict[str, Optional[str]]: + prompt = self._prompt.chat(preprocessed_commit) response = self._get_chat_completion(messages=prompt) assert response.choices[0].message.content, "Empty content in OpenAI API response." return { @@ -39,3 +51,14 @@ def generate_msg(self, preprocessed_commit_mods: str, **kwargs) -> Dict[str, Opt "model": response.model, "system_fingerprint": response.system_fingerprint, } + + async def agenerate_msg(self, preprocessed_commit: Dict[str, str], **kwargs) -> Dict[str, Optional[str]]: + prompt = self._prompt.chat(preprocessed_commit) + response = await self._aget_chat_completion(messages=prompt) + assert response.choices[0].message.content, "Empty content in OpenAI API response." + return { + "prediction": response.choices[0].message.content, + "created": str(response.created), + "model": response.model, + "system_fingerprint": response.system_fingerprint, + } diff --git a/commit_message_generation/src/backbones/together_backbone.py b/commit_message_generation/src/backbones/together_backbone.py new file mode 100644 index 0000000..af65fd9 --- /dev/null +++ b/commit_message_generation/src/backbones/together_backbone.py @@ -0,0 +1,27 @@ +import os +from typing import Any, Dict, Optional + +from src.prompts import CMGPrompt + +from .openai_backbone import OpenAIBackbone + + +class TogetherBackbone(OpenAIBackbone): + name: str = "together" + + def __init__( + self, + model_name: str, + prompt: CMGPrompt, + parameters: Dict[str, Any], + api_key: Optional[str] = None, + base_url: Optional[str] = None, + ): + # https://docs.together.ai/docs/openai-api-compatibility + super().__init__( + model_name=model_name, + prompt=prompt, + parameters=parameters, + api_key=api_key if api_key else os.environ.get("TOGETHER_API_KEY"), + base_url="https://api.together.xyz/v1", + ) diff --git a/commit_message_generation/src/baseline.py b/commit_message_generation/src/baseline.py index 99f31da..dcb4598 100644 --- a/commit_message_generation/src/baseline.py +++ b/commit_message_generation/src/baseline.py @@ -1,8 +1,8 @@ -from typing import Dict, List, Optional +from typing import Any, Dict, Optional from .backbones import CMGBackbone from .preprocessors import CMGPreprocessor -from .utils import CommitDiff +from .utils.typing_utils import UnifiedCommitExample class CMGBaseline: @@ -10,15 +10,25 @@ def __init__(self, backbone: CMGBackbone, preprocessor: CMGPreprocessor): self._backbone = backbone self._preprocessor = preprocessor - def _preprocess(self, commit_mods: List[CommitDiff], **kwargs) -> str: - return self._preprocessor(commit_mods, **kwargs) + def _preprocess(self, commit: UnifiedCommitExample, **kwargs) -> Dict[str, Any]: + return self._preprocessor(commit, **kwargs) - def _predict(self, preprocessed_commit_mods: str, **kwargs) -> Dict[str, Optional[str]]: - return self._backbone.generate_msg(preprocessed_commit_mods, **kwargs) + def _predict(self, preprocessed_commit: Dict[str, Any], **kwargs) -> Dict[str, Optional[str]]: + return self._backbone.generate_msg(preprocessed_commit, **kwargs) - def generate_msg(self, commit_mods: List[CommitDiff], **kwargs) -> Dict[str, Optional[str]]: + async def _apredict(self, preprocessed_commit: Dict[str, Any], **kwargs) -> Dict[str, Optional[str]]: + return await self._backbone.agenerate_msg(preprocessed_commit, **kwargs) + + def generate_msg(self, commit: UnifiedCommitExample, **kwargs) -> Dict[str, Optional[str]]: + preprocess_kwargs = {kw[len("preprocess_") :]: kwargs[kw] for kw in kwargs if kw.startswith("preprocess_")} + predict_kwargs = {kw: kwargs[kw] for kw in kwargs if not kw.startswith("preprocess_")} + preprocessed_commit = self._preprocess(commit, **preprocess_kwargs) + backbone_output = self._predict(preprocessed_commit, **predict_kwargs) + return backbone_output + + async def agenerate_msg(self, commit: UnifiedCommitExample, **kwargs) -> Dict[str, Optional[str]]: preprocess_kwargs = {kw[len("preprocess_") :]: kwargs[kw] for kw in kwargs if kw.startswith("preprocess_")} predict_kwargs = {kw: kwargs[kw] for kw in kwargs if not kw.startswith("preprocess_")} - preprocessed_mods = self._preprocess(commit_mods, **preprocess_kwargs) - backbone_output = self._predict(preprocessed_mods, **predict_kwargs) + preprocessed_commit = self._preprocess(commit, **preprocess_kwargs) + backbone_output = await self._apredict(preprocessed_commit, **predict_kwargs) return backbone_output diff --git a/commit_message_generation/src/metrics/reused_implementations/b_norm.py b/commit_message_generation/src/metrics/reused_implementations/b_norm.py index e78fa5c..e82b81e 100644 --- a/commit_message_generation/src/metrics/reused_implementations/b_norm.py +++ b/commit_message_generation/src/metrics/reused_implementations/b_norm.py @@ -23,7 +23,6 @@ import math import os import re -import subprocess import sys import xml.sax.saxutils diff --git a/commit_message_generation/src/preprocessors/__init__.py b/commit_message_generation/src/preprocessors/__init__.py index 5f48c2a..bf50d33 100644 --- a/commit_message_generation/src/preprocessors/__init__.py +++ b/commit_message_generation/src/preprocessors/__init__.py @@ -1,5 +1,15 @@ from .base_preprocessor import CMGPreprocessor +from .full_files_preprocessor import FullFilesCMGPreprocessor +from .load_from_dataset_preprocessor import LoadFromDatasetPreprocessor +from .retrieval_preprocessor import RetrievalCMGPreprocessor from .simple_diff_preprocessor import SimpleCMGPreprocessor from .truncation_diff_preprocessor import TruncationCMGPreprocessor -__all__ = ["CMGPreprocessor", "SimpleCMGPreprocessor", "TruncationCMGPreprocessor"] +__all__ = [ + "CMGPreprocessor", + "SimpleCMGPreprocessor", + "TruncationCMGPreprocessor", + "RetrievalCMGPreprocessor", + "LoadFromDatasetPreprocessor", + "FullFilesCMGPreprocessor", +] diff --git a/commit_message_generation/src/preprocessors/base_preprocessor.py b/commit_message_generation/src/preprocessors/base_preprocessor.py index 92f87fc..c409249 100644 --- a/commit_message_generation/src/preprocessors/base_preprocessor.py +++ b/commit_message_generation/src/preprocessors/base_preprocessor.py @@ -1,7 +1,7 @@ from abc import ABC, abstractmethod -from typing import List +from typing import Any, Dict -from src.utils import CommitDiff +from src.utils.typing_utils import UnifiedCommitExample class CMGPreprocessor(ABC): @@ -10,5 +10,5 @@ def __init__(self, model_name: str, model_provider: str, *args, **kwars): pass @abstractmethod - def __call__(self, commit_mods: List[CommitDiff], **kwargs) -> str: + def __call__(self, commit: UnifiedCommitExample, **kwargs) -> Dict[str, Any]: pass diff --git a/commit_message_generation/src/preprocessors/full_files_preprocessor.py b/commit_message_generation/src/preprocessors/full_files_preprocessor.py new file mode 100644 index 0000000..3bd1cb0 --- /dev/null +++ b/commit_message_generation/src/preprocessors/full_files_preprocessor.py @@ -0,0 +1,130 @@ +import logging +import os +from typing import Any, Dict, List, Optional + +import git +from git import GitCommandError + +from ..utils import TokenizationUtils +from ..utils.git_utils import checkout_repo_to_commit, clone_repo, read_file +from ..utils.typing_utils import UnifiedCommitExample +from . import SimpleCMGPreprocessor + + +class FullFilesCMGPreprocessor(SimpleCMGPreprocessor): + """Returns full contents for files before and after commit.""" + + def __init__( + self, + model_name: str, + model_provider: str, + max_num_tokens: Optional[int], + hf_repo_id: str, + hf_path_in_repo: str, + local_data_dir: str, + include_path: bool = True, + *args, + **kwargs, + ): + super().__init__( + model_name=model_name, + model_provider=model_provider, + include_path=include_path, + ) + self.hf_repo_id = hf_repo_id + self.hf_path_in_repo = hf_path_in_repo + self.local_data_dir = local_data_dir + self.max_num_tokens = max_num_tokens + self._tokenization_utils = TokenizationUtils(model_name=model_name, model_provider=model_provider) + + def _load_repo(self, commit: UnifiedCommitExample) -> List[Dict[str, Optional[str]]]: + repo_path = os.path.join(self.local_data_dir, "extracted_repos", commit["repo"].replace("/", "__")) + + # 1) Download repo + clone_repo( + repository=commit["repo"], + hf_repo_id=self.hf_repo_id, + hf_path_in_repo=self.hf_path_in_repo, + local_data_dir=self.local_data_dir, + ) + + # 2) Checkout repo to the commit before the current one + try: + repo = git.Repo(repo_path) + parent_hash = repo.commit(commit["hash"]).parents[0].hexsha + checkout_repo_to_commit(repo_path=repo_path, commit_hash=parent_hash) + except GitCommandError as e: + logging.error(f"[{commit['repo']}] Couldn't checkout repo to the commit before the current one: {e}.") + + # 3) Get contents before the commit + processed_mods: List[Dict[str, Optional[str]]] = [] + for file in commit["mods"]: + if file["old_path"] is not None: + full_path = os.path.join(repo_path, file["old_path"]) + try: + contents = read_file(full_path) + processed_mods.append({"old_path": file["old_path"], "old_contents": contents}) + except Exception as e: + logging.error(f"[{commit['repo']}] Error reading file {full_path}: {e}") + processed_mods.append({"old_path": file["old_path"], "old_contents": None}) + else: + processed_mods.append({"old_path": file["old_path"], "old_contents": None}) + + # 4) Checkout repo to current commit + try: + checkout_repo_to_commit(repo_path=repo_path, commit_hash=commit["hash"]) + except GitCommandError as e: + logging.error(f"[{commit['repo']}] Couldn't checkout repo to the commit before the current one: {e}.") + + # 5) Get contents after before the commit + for i, file in enumerate(commit["mods"]): + if file["new_path"] is not None: + full_path = os.path.join(repo_path, file["new_path"]) + try: + contents = read_file(full_path) + processed_mods[i]["new_path"] = file["new_path"] + processed_mods[i]["new_contents"] = contents + except Exception as e: + logging.error(f"[{commit['repo']}] Error reading file {full_path}: {e}") + processed_mods[i]["new_path"] = file["new_path"] + processed_mods[i]["new_contents"] = None + else: + processed_mods[i]["new_path"] = file["new_path"] + processed_mods[i]["new_contents"] = None + return processed_mods + + def __call__(self, commit: UnifiedCommitExample, **kwargs) -> Dict[str, Any]: + processed_commit_mods = self._load_repo(commit) + if self.max_num_tokens: + if ( + sum( + self._tokenization_utils.count_tokens(file["old_contents"]) + for file in processed_commit_mods + if file["old_contents"] + ) + + sum( + self._tokenization_utils.count_tokens(file["new_contents"]) + for file in processed_commit_mods + if file["new_contents"] + ) + > self.max_num_tokens + ): + num_files = sum(1 for file in processed_commit_mods if file["old_contents"]) + sum( + 1 for file in processed_commit_mods if file["new_contents"] + ) + tokens_per_file = self.max_num_tokens // num_files + + for file in processed_commit_mods: + if file["old_contents"] is not None: + file["old_contents"] = ( + self._tokenization_utils.truncate(file["old_contents"], max_num_tokens=tokens_per_file) + + "\n\n[... the rest is omitted ...]" + ) + + if file["new_contents"] is not None: + file["new_contents"] = ( + self._tokenization_utils.truncate(file["new_contents"], max_num_tokens=tokens_per_file) + + "\n\n[... the rest is omitted ...]" + ) + + return {"files": processed_commit_mods} diff --git a/commit_message_generation/src/preprocessors/load_from_dataset_preprocessor.py b/commit_message_generation/src/preprocessors/load_from_dataset_preprocessor.py new file mode 100644 index 0000000..1c6af46 --- /dev/null +++ b/commit_message_generation/src/preprocessors/load_from_dataset_preprocessor.py @@ -0,0 +1,27 @@ +from typing import Dict + +from datasets import load_dataset # type: ignore[import-untyped] + +from ..utils.typing_utils import UnifiedCommitExample +from .base_preprocessor import CMGPreprocessor + + +class LoadFromDatasetPreprocessor(CMGPreprocessor): + def __init__( + self, + model_name: str, + model_provider: str, + hf_repo_id: str, + hf_repo_config: str, + hf_repo_split: str, + *args, + **kwargs, + ): + dataset = load_dataset(hf_repo_id, hf_repo_config, split=hf_repo_split).to_pandas() + self.data_map = { + (row["repo"], row["hash"]): {k: v for k, v in row.items() if k not in ["repo", "hash"]} + for _, row in dataset.iterrows() + } + + def __call__(self, commit: UnifiedCommitExample, **kwargs) -> Dict[str, str]: + return {**self.data_map[(commit["repo"], commit["hash"])]} diff --git a/commit_message_generation/src/preprocessors/retrieval_preprocessor.py b/commit_message_generation/src/preprocessors/retrieval_preprocessor.py new file mode 100644 index 0000000..faa4bb1 --- /dev/null +++ b/commit_message_generation/src/preprocessors/retrieval_preprocessor.py @@ -0,0 +1,81 @@ +import os +from pathlib import Path +from typing import Any, Dict + +from langchain_community.retrievers import BM25Retriever + +from ..retrieval.hf_document_loader import HuggingFaceGitReposLoader +from ..utils import TokenizationUtils +from ..utils.typing_utils import UnifiedCommitExample +from . import SimpleCMGPreprocessor + + +class RetrievalCMGPreprocessor(SimpleCMGPreprocessor): + """Concatenates all file diffs into a single diff.""" + + def __init__( + self, + model_name: str, + model_provider: str, + max_num_tokens: int, + hf_repo_id: str, + hf_path_in_repo: str, + local_data_dir: str, + include_path: bool = True, + *args, + **kwargs, + ): + super().__init__( + model_name=model_name, + model_provider=model_provider, + include_path=include_path, + ) + self.hf_repo_id = hf_repo_id + self.hf_path_in_repo = hf_path_in_repo + self.local_data_dir = local_data_dir + self.max_num_tokens = max_num_tokens + self._tokenization_utils = TokenizationUtils(model_name=model_name, model_provider=model_provider) + + def __call__(self, commit: UnifiedCommitExample, **kwargs) -> Dict[str, Any]: + processed_commit_mods = super().__call__(commit)["mods"] + + document_loader = HuggingFaceGitReposLoader( + hf_repo_id=self.hf_repo_id, + hf_path_in_repo=self.hf_path_in_repo, + local_data_dir=self.local_data_dir, + repository=commit["repo"], + hash=commit["hash"], + files_to_exclude={mod["old_path"] for mod in commit["mods"]}, + ) + docs = document_loader.load() + retriever = BM25Retriever.from_documents(docs, k=50) + context = retriever.invoke(processed_commit_mods) + + resulting_context = [] + cur_num_tokens = self._tokenization_utils.count_tokens(processed_commit_mods) + for doc in context: + if "source" in doc.metadata: + path = Path(doc.metadata["source"]) + relative_path = str( + path.relative_to( + Path(os.path.join(document_loader.extracted_dir, commit["repo"].replace("/", "__"))) + ) + ) + doc.metadata["source"] = relative_path + + num_tokens = self._tokenization_utils.count_tokens(doc.page_content) + if num_tokens + cur_num_tokens > self.max_num_tokens: + trunctated_doc = ( + self._tokenization_utils.truncate( + doc.page_content, max_num_tokens=self.max_num_tokens - cur_num_tokens + ) + + "\n\n[... the rest is omitted ...]" + ) + resulting_context.append({**doc.metadata, "content": trunctated_doc}) + cur_num_tokens += self._tokenization_utils.count_tokens(trunctated_doc) + break + else: + resulting_context.append({**doc.metadata, "content": doc.page_content}) + cur_num_tokens += num_tokens + + return {"mods": processed_commit_mods, "context": resulting_context} diff --git a/commit_message_generation/src/preprocessors/simple_diff_preprocessor.py b/commit_message_generation/src/preprocessors/simple_diff_preprocessor.py index ffa6250..a0ab442 100644 --- a/commit_message_generation/src/preprocessors/simple_diff_preprocessor.py +++ b/commit_message_generation/src/preprocessors/simple_diff_preprocessor.py @@ -1,7 +1,6 @@ -from typing import List - -from src.utils import CommitDiff +from typing import Any, Dict +from ..utils.typing_utils import UnifiedCommitExample from .base_preprocessor import CMGPreprocessor @@ -11,7 +10,8 @@ class SimpleCMGPreprocessor(CMGPreprocessor): def __init__(self, model_name: str, model_provider: str, include_path: bool = True, *args, **kwargs): self._include_path = include_path - def __call__(self, commit_mods: List[CommitDiff], **kwargs) -> str: + def __call__(self, commit: UnifiedCommitExample, **kwargs) -> Dict[str, Any]: + commit_mods = commit["mods"] diff = [] for mod in commit_mods: if mod["change_type"] == "UNKNOWN": @@ -30,4 +30,4 @@ def __call__(self, commit_mods: List[CommitDiff], **kwargs) -> str: diff.append(file_diff) diff.append(mod["diff"]) - return "\n".join(diff) + return {"mods": "\n".join(diff)} diff --git a/commit_message_generation/src/preprocessors/truncation_diff_preprocessor.py b/commit_message_generation/src/preprocessors/truncation_diff_preprocessor.py index 6753fde..4082c28 100644 --- a/commit_message_generation/src/preprocessors/truncation_diff_preprocessor.py +++ b/commit_message_generation/src/preprocessors/truncation_diff_preprocessor.py @@ -1,7 +1,8 @@ -from typing import List +from typing import Any, Dict -from src.utils import CommitDiff, TokenizationUtils +from src.utils import TokenizationUtils +from ..utils.typing_utils import UnifiedCommitExample from .simple_diff_preprocessor import SimpleCMGPreprocessor @@ -13,6 +14,9 @@ def __init__(self, max_num_tokens: int, model_name: str, model_provider: str, in self._tokenization_utils = TokenizationUtils(model_name=model_name, model_provider=model_provider) super().__init__(model_name=model_name, model_provider=model_provider, include_path=include_path) - def __call__(self, commit_mods: List[CommitDiff], **kwargs) -> str: - processed_diff = super().__call__(commit_mods) - return self._tokenization_utils.truncate(processed_diff, max_num_tokens=self._max_num_tokens) + def __call__(self, commit: UnifiedCommitExample, **kwargs) -> Dict[str, Any]: + processed_commit = super().__call__(commit) + return { + k: self._tokenization_utils.truncate(v, max_num_tokens=self._max_num_tokens) + for k, v in processed_commit.items() + } diff --git a/commit_message_generation/src/prompts/__init__.py b/commit_message_generation/src/prompts/__init__.py index 86aaafc..5d5dc1a 100644 --- a/commit_message_generation/src/prompts/__init__.py +++ b/commit_message_generation/src/prompts/__init__.py @@ -1,8 +1,10 @@ from .base_prompt import CMGPrompt -from .prompts import DetailedCMGPrompt, SimpleCMGPrompt +from .prompts import DetailedCMGPrompt, DetailedCMGPromptForFullFiles, DetailedCMGPromptWContext, SimpleCMGPrompt __all__ = [ "CMGPrompt", "SimpleCMGPrompt", "DetailedCMGPrompt", + "DetailedCMGPromptWContext", + "DetailedCMGPromptForFullFiles", ] diff --git a/commit_message_generation/src/prompts/base_prompt.py b/commit_message_generation/src/prompts/base_prompt.py index 9950d32..7695cc0 100644 --- a/commit_message_generation/src/prompts/base_prompt.py +++ b/commit_message_generation/src/prompts/base_prompt.py @@ -1,40 +1,39 @@ import logging from abc import ABC, abstractmethod -from typing import List, Optional +from typing import Any, Dict, List, Optional from jinja2.exceptions import TemplateError -from transformers import PreTrainedTokenizerBase, PreTrainedTokenizerFast # type: ignore[import-untyped] +from transformers import PreTrainedTokenizerFast # type: ignore[import-untyped] from src.utils import ChatMessage -DEFAULT_HF_CHAT_TEMPLATE = PreTrainedTokenizerBase().default_chat_template - class CMGPrompt(ABC): @abstractmethod - def _base_prompt(self, diff: str) -> str: + def _base_prompt(self, processed_commit: Dict[str, Any]) -> str: pass - def complete(self, diff: str) -> str: - return self._base_prompt(diff) + def complete(self, processed_commit: Dict[str, Any]) -> str: + return self._base_prompt(processed_commit) - def chat(self, diff: str) -> List[ChatMessage]: + def chat(self, processed_commit: Dict[str, Any]) -> List[ChatMessage]: return [ { "role": "system", "content": "You are a helpful programming assistant that generates commit message subjects for given diffs.", }, - {"role": "user", "content": self._base_prompt(diff)}, + {"role": "user", "content": self._base_prompt(processed_commit)}, ] - def hf(self, diff: str, prompt_format: Optional[str], tokenizer: Optional[PreTrainedTokenizerFast] = None) -> str: - if ( - not prompt_format - and tokenizer - and (tokenizer.chat_template is not None or tokenizer.default_chat_template != DEFAULT_HF_CHAT_TEMPLATE) - ): + def hf( + self, + processed_commit: Dict[str, Any], + prompt_format: Optional[str], + tokenizer: Optional[PreTrainedTokenizerFast] = None, + ) -> str: + if not prompt_format and tokenizer and tokenizer.chat_template is not None: logging.info("Using chat template from HF tokenizer.") - chat_messages = self.chat(diff) + chat_messages = self.chat(processed_commit) assert ( len(chat_messages) == 2 and chat_messages[0]["role"] == "system" and chat_messages[1]["role"] == "user" ), "By default, a single system message followed by a single user message are expected." @@ -49,16 +48,16 @@ def hf(self, diff: str, prompt_format: Optional[str], tokenizer: Optional[PreTra if not prompt_format: logging.warning("Prompt format not passed, using raw diff as model input.") - return self.complete(diff) + return self.complete(processed_commit) if prompt_format == "octocoder": # https://huggingface.co/bigcode/octocoder#intended-use - completion_prompt = self.complete(diff) + completion_prompt = self.complete(processed_commit) if completion_prompt.endswith("Commit message:\n"): completion_prompt = completion_prompt[: len("Commit message:\n")] return f"Question: {completion_prompt}\n\nAnswer:" if prompt_format == "starchat": # https://huggingface.co/HuggingFaceH4/starchat-beta#intended-uses--limitations - chat_messages = self.chat(diff) + chat_messages = self.chat(processed_commit) assert ( len(chat_messages) == 2 and chat_messages[0]["role"] == "system" and chat_messages[1]["role"] == "user" ), "By default, a single system message followed by a single user message are expected." @@ -71,14 +70,14 @@ def hf(self, diff: str, prompt_format: Optional[str], tokenizer: Optional[PreTra ) if prompt_format == "llama": # https://huggingface.co/blog/codellama#conversational-instructions - chat_messages = self.chat(diff) + chat_messages = self.chat(processed_commit) assert ( len(chat_messages) == 2 and chat_messages[0]["role"] == "system" and chat_messages[1]["role"] == "user" ), "By default, a single system message followed by a single user message are expected." return f"[INST] <>\n{chat_messages[0]['content']}\n<>\n\n{chat_messages[1]['content']}[/INST]" if prompt_format == "alpaca": # https://github.com/sahil280114/codealpaca#data-release - completion_prompt = self.complete(diff) + completion_prompt = self.complete(processed_commit) if completion_prompt.endswith("Commit message:\n"): completion_prompt = completion_prompt[: len("Commit message:\n")] return f"Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{completion_prompt}\n\n### Response:\n" diff --git a/commit_message_generation/src/prompts/prompts.py b/commit_message_generation/src/prompts/prompts.py index 2f93e54..134e678 100644 --- a/commit_message_generation/src/prompts/prompts.py +++ b/commit_message_generation/src/prompts/prompts.py @@ -1,11 +1,58 @@ +from typing import Any, Dict + from .base_prompt import CMGPrompt class SimpleCMGPrompt(CMGPrompt): - def _base_prompt(self, diff: str) -> str: - return f"Write a commit message for a given diff.\nDiff:\n{diff}\nCommit message:\n" + def _base_prompt(self, processed_commit: Dict[str, Any]) -> str: + assert "mods" in processed_commit, "SimpleCMGPrompt expects 'mods' key to be present after preprocessing." + return f"Write a commit message for a given diff.\nDiff:\n{processed_commit['mods']}\nCommit message:\n" class DetailedCMGPrompt(CMGPrompt): - def _base_prompt(self, diff: str) -> str: - return f"Write a commit message for a given diff. Start with a heading that serves as a summary of the whole diff: a single sentence in an imperative form, no more than 50 characters long. If you have details to add, do it after a blank line. Do your best to be specific, do not use 'refactor' unless you are absolutely sure that this change is ONLY a refactoring. Your goal is to communicate what the change does without having to look at the source code. Do not go into low-level details like all the changed files, do not be overly verbose. Avoid adding any external references like issue tags, URLs or emails.\nDiff:\n{diff}\nCommit message:\n" + def _base_prompt(self, processed_commit: Dict[str, Any]) -> str: + assert "mods" in processed_commit, "DetailedCMGPrompt expects 'mods' key to be present after preprocessing." + return f"Write a commit message for a given diff. Start with a heading that serves as a summary of the whole diff: a single sentence in an imperative form, no more than 50 characters long. If you have details to add, do it after a blank line. Do your best to be specific, do not use 'refactor' unless you are absolutely sure that this change is ONLY a refactoring. Your goal is to communicate what the change does without having to look at the source code. Do not go into low-level details like all the changed files, do not be overly verbose. Avoid adding any external references like issue tags, URLs or emails.\nDiff:\n{processed_commit['mods']}\nCommit message:\n" + + +class DetailedCMGPromptWContext(CMGPrompt): + def _base_prompt(self, processed_commit: Dict[str, Any]) -> str: + assert "mods" in processed_commit, ( + "DetailedCMGPromptWContext expects 'mods' key to be present after preprocessing." + ) + assert "context" in processed_commit, ( + "DetailedCMGPromptWContext expects 'context' key to be present after preprocessing." + ) + base_prompt = [ + "Write a commit message for a given diff. Start with a heading that serves as a summary of the whole diff: a single sentence in an imperative form, no more than 50 characters long. If you have details to add, do it after a blank line. Do your best to be specific, do not use 'refactor' unless you are absolutely sure that this change is ONLY a refactoring. Your goal is to communicate what the change does without having to look at the source code. Do not go into low-level details like all the changed files, do not be overly verbose. Avoid adding any external references like issue tags, URLs or emails.\n\nAdditional context from the repository:\n" + ] + + for i, file in enumerate(processed_commit["context"]): + base_prompt.append(f"FILE {i + 1}: {file['source']}") + base_prompt.append(file["content"]) + + base_prompt.append("\n") + base_prompt.append(f"Diff:\n\n{processed_commit['mods']}\n\nCommit message:\n") + return "\n".join(base_prompt) + + +class DetailedCMGPromptForFullFiles(CMGPrompt): + def _base_prompt(self, processed_commit: Dict[str, Any]) -> str: + assert "files" in processed_commit, ( + "DetailedCMGPromptForFullFiles expects 'context' key to be present after preprocessing." + ) + base_prompt = [ + "Write a commit message for a given modification. Start with a heading that serves as a summary of the whole modification: a single sentence in an imperative form, no more than 50 characters long. If you have details to add, do it after a blank line. Do your best to be specific, do not use 'refactor' unless you are absolutely sure that this change is ONLY a refactoring. Your goal is to communicate what the change does without having to look at the source code. Do not go into low-level details like all the changed files, do not be overly verbose. Avoid adding any external references like issue tags, URLs or emails.\n\nYou will see full contents of the changed files before and after the modification.\n" + ] + + for i, file in enumerate(processed_commit["files"]): + assert file["old_path"] == file["new_path"] + base_prompt.append(f"FILE {i + 1}: {file['old_path']}") + base_prompt.append("BEFORE THE MODIFICATION:") + base_prompt.append(file["old_contents"] if file["old_contents"] else "N/A") + + base_prompt.append("AFTER THE MODIFICATION:") + base_prompt.append(file["new_contents"] if file["new_contents"] else "N/A") + + base_prompt.append("\nCommit message:\n") + return "\n".join(base_prompt) diff --git a/commit_message_generation/src/retrieval/__init__.py b/commit_message_generation/src/retrieval/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/commit_message_generation/src/retrieval/hf_document_loader.py b/commit_message_generation/src/retrieval/hf_document_loader.py new file mode 100644 index 0000000..26d51ae --- /dev/null +++ b/commit_message_generation/src/retrieval/hf_document_loader.py @@ -0,0 +1,107 @@ +import logging +import os +import tarfile +from typing import Iterator, Optional, Set + +import chardet +import git +from git import GitCommandError +from huggingface_hub import hf_hub_download +from langchain.docstore.document import Document +from langchain.document_loaders.base import BaseLoader + + +class HuggingFaceGitReposLoader(BaseLoader): + """ + A custom Document Loader that: + 1) Downloads Git repo (packaged as .tar.gz) from a Hugging Face dataset. + 2) Extract it to a local folder. + 3) Iterates through all .py files inside this repo, yielding Document objects. + """ + + def __init__( + self, + repository: str, + hash: str, + hf_repo_id: str, + hf_path_in_repo: str, + local_data_dir: str, + files_to_exclude: Optional[Set[Optional[str]]] = None, + ): + """ + Args: + repository: Current repository. + hash: Hash of the current commit. + hf_repo_id: The HuggingFace dataset ID. + hf_path_in_repo: Path to folder in HuggingFace dataset containing the .tar.gz repositories. + local_data_dir: Local directory where the downloaded and extracted repos will be stored. + files_to_exclude: List of files that should not be returned as documents. + """ + self.repository = repository + self.hash = hash + self.hf_repo_id = hf_repo_id + self.hf_path_in_repo = hf_path_in_repo + self.local_data_dir = local_data_dir + self.files_to_exclude = files_to_exclude + self.extracted_dir = os.path.join(self.local_data_dir, "extracted_repos") + os.makedirs(self.extracted_dir, exist_ok=True) + + def lazy_load(self) -> Iterator[Document]: + repo_path = os.path.join(self.extracted_dir, self.repository.replace("/", "__")) + + # 1) Download corresponding .tar.gz file and extract it + repo = None + if not os.path.exists(repo_path): + try: + repo = git.Repo.clone_from(url=f"https://github.com/{self.repository}", to_path=repo_path) + except Exception as e: + logging.error(f"[{self.repository}] Couldn't clone repository from GitHub: {e}.") + try: + local_file_path = hf_hub_download( + repo_id=self.hf_repo_id, + filename=os.path.join(self.hf_path_in_repo, f"{self.repository.replace('/', '__')}.tar.gz"), + repo_type="dataset", + local_dir=self.local_data_dir, + ) + with tarfile.open(local_file_path, "r:gz") as tar: + tar.extractall(path=self.extracted_dir) + + except Exception as e: + logging.error(f"[{self.repository}] Couldn't download repository from HuggingFace Hub: {e}.") + + # 2) Checkout repo to the commit before the current one + try: + if repo is None: + repo = git.Repo(repo_path) + repo.git.reset("--hard") + repo.git.clean("-fd") + parent_hash = repo.commit(self.hash).parents[0] + repo.git.checkout(parent_hash) + except GitCommandError as e: + logging.error(f"[{self.repository}] Couldn't checkout repo to the commit before the current one: {e}.") + + # 3) Walk through the repo and yield Documents for each .py file + for root, _, files in os.walk(repo_path): + for file_name in files: + if file_name.endswith(".py"): + if self.files_to_exclude and file_name in self.files_to_exclude: + continue + full_path = os.path.join(root, file_name) + try: + with open(full_path, "rb") as f: + raw_data = f.read() + + # Detect encoding + result = chardet.detect(raw_data) + encoding = result["encoding"] + + # Fallback to UTF-8 if no encoding detected + if not encoding: + encoding = "utf-8" + + with open(full_path, "r", encoding=encoding) as f: + content = f.read() + + yield Document(page_content=content, metadata={"source": full_path}) + except Exception as e: + logging.error(f"[{self.repository}] Error reading file {full_path}: {e}") diff --git a/commit_message_generation/src/utils/git_utils.py b/commit_message_generation/src/utils/git_utils.py new file mode 100644 index 0000000..afd4902 --- /dev/null +++ b/commit_message_generation/src/utils/git_utils.py @@ -0,0 +1,68 @@ +import logging +import os +import tarfile + +import chardet +import git +from git import GitCommandError +from huggingface_hub import hf_hub_download + + +def read_file(path: str) -> str: + with open(path, "rb") as f: + raw_data = f.read() + + # Detect encoding + result = chardet.detect(raw_data) + encoding = result["encoding"] + + # Fallback to UTF-8 if no encoding detected + if not encoding: + encoding = "utf-8" + + with open(path, "r", encoding=encoding) as f: + content = f.read() + return content + + +def clone_repo(repository: str, hf_repo_id: str, hf_path_in_repo: str, local_data_dir: str) -> bool: + extracted_dir = os.path.join(local_data_dir, "extracted_repos") + repo_path = os.path.join(extracted_dir, repository.replace("/", "__")) + + if not os.path.exists(repo_path): + try: + logging.info(f"[{repository}] Downloading from GitHub.") + _ = git.Repo.clone_from(url=f"https://github.com/{repository}", to_path=repo_path) + return True + except Exception as e: + logging.error(f"[{repository}] Couldn't clone repository from GitHub: {e}.") + logging.info(f"[{repository}] Downloading from HuggingFace Hub.") + try: + local_file_path = hf_hub_download( + repo_id=hf_repo_id, + filename=os.path.join(hf_path_in_repo, f"{repository.replace('/', '__')}.tar.gz"), + repo_type="dataset", + local_dir=local_data_dir, + ) + with tarfile.open(local_file_path, "r:gz") as tar: + tar.extractall(path=extracted_dir) + return True + except Exception as e: + logging.error(f"[{repository}] Couldn't download repository from HuggingFace Hub: {e}.") + return False + else: + return True + + +def checkout_repo_to_commit(repo_path: str, commit_hash: str) -> bool: + try: + repo = git.Repo(repo_path) + repo.git.reset("--hard") + repo.git.clean("-fd") + repo.git.checkout(commit_hash) + return True + except GitCommandError as e: + logging.error( + f"[{os.path.basename(repo_path).replace('__', '/')}] Couldn't checkout repo to the commit {commit_hash}: {e}." + ) + return False diff --git a/commit_message_generation/src/utils/tokenization_utils.py b/commit_message_generation/src/utils/tokenization_utils.py index 6718fe1..8cc51b3 100644 --- a/commit_message_generation/src/utils/tokenization_utils.py +++ b/commit_message_generation/src/utils/tokenization_utils.py @@ -47,6 +47,6 @@ def truncate(self, text: str, max_num_tokens: int) -> str: if self._model_provider == "huggingface": assert isinstance(self._tokenizer, PreTrainedTokenizerFast) encoding = self._tokenizer(text).input_ids[:max_num_tokens] - return self._tokenizer.decode(encoding) + return self._tokenizer.decode(encoding, skip_special_tokens=True) raise ValueError(f"{self._model_provider} is currently not supported.")