""" Type definitions and utilities for the `create_commit` API """ import base64 import io import os import warnings from collections import defaultdict from contextlib import contextmanager from dataclasses import dataclass, field from itertools import groupby from pathlib import Path, PurePosixPath from typing import TYPE_CHECKING, Any, BinaryIO, Dict, Iterable, Iterator, List, Literal, Optional, Tuple, Union from tqdm.contrib.concurrent import thread_map from huggingface_hub import get_session from .constants import ENDPOINT, HF_HUB_ENABLE_HF_TRANSFER from .file_download import hf_hub_url from .lfs import UploadInfo, lfs_upload, post_lfs_batch_info from .utils import ( EntryNotFoundError, chunk_iterable, hf_raise_for_status, logging, tqdm_stream_file, validate_hf_hub_args, ) from .utils import tqdm as hf_tqdm if TYPE_CHECKING: from .hf_api import RepoFile logger = logging.get_logger(__name__) UploadMode = Literal["lfs", "regular"] # Max is 1,000 per request on the Hub for HfApi.get_paths_info # Otherwise we get: # HfHubHTTPError: 413 Client Error: Payload Too Large for url: https://huggingface.co/api/datasets/xxx (Request ID: xxx)\n\ntoo many parameters # See https://github.com/huggingface/huggingface_hub/issues/1503 FETCH_LFS_BATCH_SIZE = 500 @dataclass class CommitOperationDelete: """ Data structure holding necessary info to delete a file or a folder from a repository on the Hub. Args: path_in_repo (`str`): Relative filepath in the repo, for example: `"checkpoints/1fec34a/weights.bin"` for a file or `"checkpoints/1fec34a/"` for a folder. is_folder (`bool` or `Literal["auto"]`, *optional*) Whether the Delete Operation applies to a folder or not. If "auto", the path type (file or folder) is guessed automatically by looking if path ends with a "/" (folder) or not (file). To explicitly set the path type, you can set `is_folder=True` or `is_folder=False`. """ path_in_repo: str is_folder: Union[bool, Literal["auto"]] = "auto" def __post_init__(self): self.path_in_repo = _validate_path_in_repo(self.path_in_repo) if self.is_folder == "auto": self.is_folder = self.path_in_repo.endswith("/") if not isinstance(self.is_folder, bool): raise ValueError( f"Wrong value for `is_folder`. Must be one of [`True`, `False`, `'auto'`]. Got '{self.is_folder}'." ) @dataclass class CommitOperationCopy: """ Data structure holding necessary info to copy a file in a repository on the Hub. Limitations: - Only LFS files can be copied. To copy a regular file, you need to download it locally and re-upload it - Cross-repository copies are not supported. Note: you can combine a [`CommitOperationCopy`] and a [`CommitOperationDelete`] to rename an LFS file on the Hub. Args: src_path_in_repo (`str`): Relative filepath in the repo of the file to be copied, e.g. `"checkpoints/1fec34a/weights.bin"`. path_in_repo (`str`): Relative filepath in the repo where to copy the file, e.g. `"checkpoints/1fec34a/weights_copy.bin"`. src_revision (`str`, *optional*): The git revision of the file to be copied. Can be any valid git revision. Default to the target commit revision. """ src_path_in_repo: str path_in_repo: str src_revision: Optional[str] = None def __post_init__(self): self.src_path_in_repo = _validate_path_in_repo(self.src_path_in_repo) self.path_in_repo = _validate_path_in_repo(self.path_in_repo) @dataclass class CommitOperationAdd: """ Data structure holding necessary info to upload a file to a repository on the Hub. Args: path_in_repo (`str`): Relative filepath in the repo, for example: `"checkpoints/1fec34a/weights.bin"` path_or_fileobj (`str`, `Path`, `bytes`, or `BinaryIO`): Either: - a path to a local file (as `str` or `pathlib.Path`) to upload - a buffer of bytes (`bytes`) holding the content of the file to upload - a "file object" (subclass of `io.BufferedIOBase`), typically obtained with `open(path, "rb")`. It must support `seek()` and `tell()` methods. Raises: [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) If `path_or_fileobj` is not one of `str`, `Path`, `bytes` or `io.BufferedIOBase`. [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) If `path_or_fileobj` is a `str` or `Path` but not a path to an existing file. [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) If `path_or_fileobj` is a `io.BufferedIOBase` but it doesn't support both `seek()` and `tell()`. """ path_in_repo: str path_or_fileobj: Union[str, Path, bytes, BinaryIO] upload_info: UploadInfo = field(init=False, repr=False) # Internal attributes # set to "lfs" or "regular" once known _upload_mode: Optional[UploadMode] = field(init=False, repr=False, default=None) # set to True if .gitignore rules prevent the file from being uploaded as LFS # (server-side check) _should_ignore: Optional[bool] = field(init=False, repr=False, default=None) # set to True once the file has been uploaded as LFS _is_uploaded: bool = field(init=False, repr=False, default=False) # set to True once the file has been committed _is_committed: bool = field(init=False, repr=False, default=False) def __post_init__(self) -> None: """Validates `path_or_fileobj` and compute `upload_info`.""" self.path_in_repo = _validate_path_in_repo(self.path_in_repo) # Validate `path_or_fileobj` value if isinstance(self.path_or_fileobj, Path): self.path_or_fileobj = str(self.path_or_fileobj) if isinstance(self.path_or_fileobj, str): path_or_fileobj = os.path.normpath(os.path.expanduser(self.path_or_fileobj)) if not os.path.isfile(path_or_fileobj): raise ValueError(f"Provided path: '{path_or_fileobj}' is not a file on the local file system") elif not isinstance(self.path_or_fileobj, (io.BufferedIOBase, bytes)): # ^^ Inspired from: https://stackoverflow.com/questions/44584829/how-to-determine-if-file-is-opened-in-binary-or-text-mode raise ValueError( "path_or_fileobj must be either an instance of str, bytes or" " io.BufferedIOBase. If you passed a file-like object, make sure it is" " in binary mode." ) if isinstance(self.path_or_fileobj, io.BufferedIOBase): try: self.path_or_fileobj.tell() self.path_or_fileobj.seek(0, os.SEEK_CUR) except (OSError, AttributeError) as exc: raise ValueError( "path_or_fileobj is a file-like object but does not implement seek() and tell()" ) from exc # Compute "upload_info" attribute if isinstance(self.path_or_fileobj, str): self.upload_info = UploadInfo.from_path(self.path_or_fileobj) elif isinstance(self.path_or_fileobj, bytes): self.upload_info = UploadInfo.from_bytes(self.path_or_fileobj) else: self.upload_info = UploadInfo.from_fileobj(self.path_or_fileobj) @contextmanager def as_file(self, with_tqdm: bool = False) -> Iterator[BinaryIO]: """ A context manager that yields a file-like object allowing to read the underlying data behind `path_or_fileobj`. Args: with_tqdm (`bool`, *optional*, defaults to `False`): If True, iterating over the file object will display a progress bar. Only works if the file-like object is a path to a file. Pure bytes and buffers are not supported. Example: ```python >>> operation = CommitOperationAdd( ... path_in_repo="remote/dir/weights.h5", ... path_or_fileobj="./local/weights.h5", ... ) CommitOperationAdd(path_in_repo='remote/dir/weights.h5', path_or_fileobj='./local/weights.h5') >>> with operation.as_file() as file: ... content = file.read() >>> with operation.as_file(with_tqdm=True) as file: ... while True: ... data = file.read(1024) ... if not data: ... break config.json: 100%|█████████████████████████| 8.19k/8.19k [00:02<00:00, 3.72kB/s] >>> with operation.as_file(with_tqdm=True) as file: ... requests.put(..., data=file) config.json: 100%|█████████████████████████| 8.19k/8.19k [00:02<00:00, 3.72kB/s] ``` """ if isinstance(self.path_or_fileobj, str) or isinstance(self.path_or_fileobj, Path): if with_tqdm: with tqdm_stream_file(self.path_or_fileobj) as file: yield file else: with open(self.path_or_fileobj, "rb") as file: yield file elif isinstance(self.path_or_fileobj, bytes): yield io.BytesIO(self.path_or_fileobj) elif isinstance(self.path_or_fileobj, io.BufferedIOBase): prev_pos = self.path_or_fileobj.tell() yield self.path_or_fileobj self.path_or_fileobj.seek(prev_pos, io.SEEK_SET) def b64content(self) -> bytes: """ The base64-encoded content of `path_or_fileobj` Returns: `bytes` """ with self.as_file() as file: return base64.b64encode(file.read()) def _validate_path_in_repo(path_in_repo: str) -> str: # Validate `path_in_repo` value to prevent a server-side issue if path_in_repo.startswith("/"): path_in_repo = path_in_repo[1:] if path_in_repo == "." or path_in_repo == ".." or path_in_repo.startswith("../"): raise ValueError(f"Invalid `path_in_repo` in CommitOperation: '{path_in_repo}'") if path_in_repo.startswith("./"): path_in_repo = path_in_repo[2:] if any(part == ".git" for part in path_in_repo.split("/")): raise ValueError( "Invalid `path_in_repo` in CommitOperation: cannot update files under a '.git/' folder (path:" f" '{path_in_repo}')." ) return path_in_repo CommitOperation = Union[CommitOperationAdd, CommitOperationCopy, CommitOperationDelete] def _warn_on_overwriting_operations(operations: List[CommitOperation]) -> None: """ Warn user when a list of operations is expected to overwrite itself in a single commit. Rules: - If a filepath is updated by multiple `CommitOperationAdd` operations, a warning message is triggered. - If a filepath is updated at least once by a `CommitOperationAdd` and then deleted by a `CommitOperationDelete`, a warning is triggered. - If a `CommitOperationDelete` deletes a filepath that is then updated by a `CommitOperationAdd`, no warning is triggered. This is usually useless (no need to delete before upload) but can happen if a user deletes an entire folder and then add new files to it. """ nb_additions_per_path: Dict[str, int] = defaultdict(int) for operation in operations: path_in_repo = operation.path_in_repo if isinstance(operation, CommitOperationAdd): if nb_additions_per_path[path_in_repo] > 0: warnings.warn( "About to update multiple times the same file in the same commit:" f" '{path_in_repo}'. This can cause undesired inconsistencies in" " your repo." ) nb_additions_per_path[path_in_repo] += 1 for parent in PurePosixPath(path_in_repo).parents: # Also keep track of number of updated files per folder # => warns if deleting a folder overwrite some contained files nb_additions_per_path[str(parent)] += 1 if isinstance(operation, CommitOperationDelete): if nb_additions_per_path[str(PurePosixPath(path_in_repo))] > 0: if operation.is_folder: warnings.warn( "About to delete a folder containing files that have just been" f" updated within the same commit: '{path_in_repo}'. This can" " cause undesired inconsistencies in your repo." ) else: warnings.warn( "About to delete a file that have just been updated within the" f" same commit: '{path_in_repo}'. This can cause undesired" " inconsistencies in your repo." ) @validate_hf_hub_args def _upload_lfs_files( *, additions: List[CommitOperationAdd], repo_type: str, repo_id: str, headers: Dict[str, str], endpoint: Optional[str] = None, num_threads: int = 5, revision: Optional[str] = None, ): """ Uploads the content of `additions` to the Hub using the large file storage protocol. Relevant external documentation: - LFS Batch API: https://github.com/git-lfs/git-lfs/blob/main/docs/api/batch.md Args: additions (`List` of `CommitOperationAdd`): The files to be uploaded repo_type (`str`): Type of the repo to upload to: `"model"`, `"dataset"` or `"space"`. repo_id (`str`): A namespace (user or an organization) and a repo name separated by a `/`. headers (`Dict[str, str]`): Headers to use for the request, including authorization headers and user agent. num_threads (`int`, *optional*): The number of concurrent threads to use when uploading. Defaults to 5. revision (`str`, *optional*): The git revision to upload to. Raises: `RuntimeError` if an upload failed for any reason Raises: `ValueError` if the server returns malformed responses Raises: `requests.HTTPError` if the LFS batch endpoint returned an HTTP error """ # Step 1: retrieve upload instructions from the LFS batch endpoint. # Upload instructions are retrieved by chunk of 256 files to avoid reaching # the payload limit. batch_actions: List[Dict] = [] for chunk in chunk_iterable(additions, chunk_size=256): batch_actions_chunk, batch_errors_chunk = post_lfs_batch_info( upload_infos=[op.upload_info for op in chunk], repo_id=repo_id, repo_type=repo_type, revision=revision, endpoint=endpoint, headers=headers, token=None, # already passed in 'headers' ) # If at least 1 error, we do not retrieve information for other chunks if batch_errors_chunk: message = "\n".join( [ f'Encountered error for file with OID {err.get("oid")}: `{err.get("error", {}).get("message")}' for err in batch_errors_chunk ] ) raise ValueError(f"LFS batch endpoint returned errors:\n{message}") batch_actions += batch_actions_chunk oid2addop = {add_op.upload_info.sha256.hex(): add_op for add_op in additions} # Step 2: ignore files that have already been uploaded filtered_actions = [] for action in batch_actions: if action.get("actions") is None: logger.debug( f"Content of file {oid2addop[action['oid']].path_in_repo} is already" " present upstream - skipping upload." ) else: filtered_actions.append(action) if len(filtered_actions) == 0: logger.debug("No LFS files to upload.") return # Step 3: upload files concurrently according to these instructions def _wrapped_lfs_upload(batch_action) -> None: try: operation = oid2addop[batch_action["oid"]] lfs_upload(operation=operation, lfs_batch_action=batch_action, headers=headers, endpoint=endpoint) except Exception as exc: raise RuntimeError(f"Error while uploading '{operation.path_in_repo}' to the Hub.") from exc if HF_HUB_ENABLE_HF_TRANSFER: logger.debug(f"Uploading {len(filtered_actions)} LFS files to the Hub using `hf_transfer`.") for action in hf_tqdm(filtered_actions): _wrapped_lfs_upload(action) elif len(filtered_actions) == 1: logger.debug("Uploading 1 LFS file to the Hub") _wrapped_lfs_upload(filtered_actions[0]) else: logger.debug( f"Uploading {len(filtered_actions)} LFS files to the Hub using up to {num_threads} threads concurrently" ) thread_map( _wrapped_lfs_upload, filtered_actions, desc=f"Upload {len(filtered_actions)} LFS files", max_workers=num_threads, tqdm_class=hf_tqdm, ) def _validate_preupload_info(preupload_info: dict): files = preupload_info.get("files") if not isinstance(files, list): raise ValueError("preupload_info is improperly formatted") for file_info in files: if not ( isinstance(file_info, dict) and isinstance(file_info.get("path"), str) and isinstance(file_info.get("uploadMode"), str) and (file_info["uploadMode"] in ("lfs", "regular")) ): raise ValueError("preupload_info is improperly formatted:") return preupload_info @validate_hf_hub_args def _fetch_upload_modes( additions: Iterable[CommitOperationAdd], repo_type: str, repo_id: str, headers: Dict[str, str], revision: str, endpoint: Optional[str] = None, create_pr: bool = False, gitignore_content: Optional[str] = None, ) -> None: """ Requests the Hub "preupload" endpoint to determine whether each input file should be uploaded as a regular git blob or as git LFS blob. Input `additions` are mutated in-place with the upload mode. Args: additions (`Iterable` of :class:`CommitOperationAdd`): Iterable of :class:`CommitOperationAdd` describing the files to upload to the Hub. repo_type (`str`): Type of the repo to upload to: `"model"`, `"dataset"` or `"space"`. repo_id (`str`): A namespace (user or an organization) and a repo name separated by a `/`. headers (`Dict[str, str]`): Headers to use for the request, including authorization headers and user agent. revision (`str`): The git revision to upload the files to. Can be any valid git revision. gitignore_content (`str`, *optional*): The content of the `.gitignore` file to know which files should be ignored. The order of priority is to first check if `gitignore_content` is passed, then check if the `.gitignore` file is present in the list of files to commit and finally default to the `.gitignore` file already hosted on the Hub (if any). Raises: [`~utils.HfHubHTTPError`] If the Hub API returned an error. [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) If the Hub API response is improperly formatted. """ endpoint = endpoint if endpoint is not None else ENDPOINT # Fetch upload mode (LFS or regular) chunk by chunk. upload_modes: Dict[str, UploadMode] = {} should_ignore_info: Dict[str, bool] = {} for chunk in chunk_iterable(additions, 256): payload: Dict = { "files": [ { "path": op.path_in_repo, "sample": base64.b64encode(op.upload_info.sample).decode("ascii"), "size": op.upload_info.size, "sha": op.upload_info.sha256.hex(), } for op in chunk ] } if gitignore_content is not None: payload["gitIgnore"] = gitignore_content resp = get_session().post( f"{endpoint}/api/{repo_type}s/{repo_id}/preupload/{revision}", json=payload, headers=headers, params={"create_pr": "1"} if create_pr else None, ) hf_raise_for_status(resp) preupload_info = _validate_preupload_info(resp.json()) upload_modes.update(**{file["path"]: file["uploadMode"] for file in preupload_info["files"]}) should_ignore_info.update(**{file["path"]: file["shouldIgnore"] for file in preupload_info["files"]}) # Set upload mode for each addition operation for addition in additions: addition._upload_mode = upload_modes[addition.path_in_repo] addition._should_ignore = should_ignore_info[addition.path_in_repo] # Empty files cannot be uploaded as LFS (S3 would fail with a 501 Not Implemented) # => empty files are uploaded as "regular" to still allow users to commit them. for addition in additions: if addition.upload_info.size == 0: addition._upload_mode = "regular" @validate_hf_hub_args def _fetch_files_to_copy( copies: Iterable[CommitOperationCopy], repo_type: str, repo_id: str, headers: Dict[str, str], revision: str, endpoint: Optional[str] = None, ) -> Dict[Tuple[str, Optional[str]], Union["RepoFile", bytes]]: """ Fetch information about the files to copy. For LFS files, we only need their metadata (file size and sha256) while for regular files we need to download the raw content from the Hub. Args: copies (`Iterable` of :class:`CommitOperationCopy`): Iterable of :class:`CommitOperationCopy` describing the files to copy on the Hub. repo_type (`str`): Type of the repo to upload to: `"model"`, `"dataset"` or `"space"`. repo_id (`str`): A namespace (user or an organization) and a repo name separated by a `/`. headers (`Dict[str, str]`): Headers to use for the request, including authorization headers and user agent. revision (`str`): The git revision to upload the files to. Can be any valid git revision. Returns: `Dict[Tuple[str, Optional[str]], Union[RepoFile, bytes]]]` Key is the file path and revision of the file to copy. Value is the raw content as bytes (for regular files) or the file information as a RepoFile (for LFS files). Raises: [`~utils.HfHubHTTPError`] If the Hub API returned an error. [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) If the Hub API response is improperly formatted. """ from .hf_api import HfApi, RepoFolder hf_api = HfApi(endpoint=endpoint, headers=headers) files_to_copy: Dict[Tuple[str, Optional[str]], Union["RepoFile", bytes]] = {} for src_revision, operations in groupby(copies, key=lambda op: op.src_revision): operations = list(operations) # type: ignore paths = [op.src_path_in_repo for op in operations] for offset in range(0, len(paths), FETCH_LFS_BATCH_SIZE): src_repo_files = hf_api.get_paths_info( repo_id=repo_id, paths=paths[offset : offset + FETCH_LFS_BATCH_SIZE], revision=src_revision or revision, repo_type=repo_type, ) for src_repo_file in src_repo_files: if isinstance(src_repo_file, RepoFolder): raise NotImplementedError("Copying a folder is not implemented.") if src_repo_file.lfs: files_to_copy[(src_repo_file.path, src_revision)] = src_repo_file else: # TODO: (optimization) download regular files to copy concurrently url = hf_hub_url( endpoint=endpoint, repo_type=repo_type, repo_id=repo_id, revision=src_revision or revision, filename=src_repo_file.path, ) response = get_session().get(url, headers=headers) hf_raise_for_status(response) files_to_copy[(src_repo_file.path, src_revision)] = response.content for operation in operations: if (operation.src_path_in_repo, src_revision) not in files_to_copy: raise EntryNotFoundError( f"Cannot copy {operation.src_path_in_repo} at revision " f"{src_revision or revision}: file is missing on repo." ) return files_to_copy def _prepare_commit_payload( operations: Iterable[CommitOperation], files_to_copy: Dict[Tuple[str, Optional[str]], Union["RepoFile", bytes]], commit_message: str, commit_description: Optional[str] = None, parent_commit: Optional[str] = None, ) -> Iterable[Dict[str, Any]]: """ Builds the payload to POST to the `/commit` API of the Hub. Payload is returned as an iterator so that it can be streamed as a ndjson in the POST request. For more information, see: - https://github.com/huggingface/huggingface_hub/issues/1085#issuecomment-1265208073 - http://ndjson.org/ """ commit_description = commit_description if commit_description is not None else "" # 1. Send a header item with the commit metadata header_value = {"summary": commit_message, "description": commit_description} if parent_commit is not None: header_value["parentCommit"] = parent_commit yield {"key": "header", "value": header_value} nb_ignored_files = 0 # 2. Send operations, one per line for operation in operations: # Skip ignored files if isinstance(operation, CommitOperationAdd) and operation._should_ignore: logger.debug(f"Skipping file '{operation.path_in_repo}' in commit (ignored by gitignore file).") nb_ignored_files += 1 continue # 2.a. Case adding a regular file if isinstance(operation, CommitOperationAdd) and operation._upload_mode == "regular": yield { "key": "file", "value": { "content": operation.b64content().decode(), "path": operation.path_in_repo, "encoding": "base64", }, } # 2.b. Case adding an LFS file elif isinstance(operation, CommitOperationAdd) and operation._upload_mode == "lfs": yield { "key": "lfsFile", "value": { "path": operation.path_in_repo, "algo": "sha256", "oid": operation.upload_info.sha256.hex(), "size": operation.upload_info.size, }, } # 2.c. Case deleting a file or folder elif isinstance(operation, CommitOperationDelete): yield { "key": "deletedFolder" if operation.is_folder else "deletedFile", "value": {"path": operation.path_in_repo}, } # 2.d. Case copying a file or folder elif isinstance(operation, CommitOperationCopy): file_to_copy = files_to_copy[(operation.src_path_in_repo, operation.src_revision)] if isinstance(file_to_copy, bytes): yield { "key": "file", "value": { "content": base64.b64encode(file_to_copy).decode(), "path": operation.path_in_repo, "encoding": "base64", }, } elif file_to_copy.lfs: yield { "key": "lfsFile", "value": { "path": operation.path_in_repo, "algo": "sha256", "oid": file_to_copy.lfs.sha256, }, } else: raise ValueError( "Malformed files_to_copy (should be raw file content as bytes or RepoFile objects with LFS info." ) # 2.e. Never expected to happen else: raise ValueError( f"Unknown operation to commit. Operation: {operation}. Upload mode:" f" {getattr(operation, '_upload_mode', None)}" ) if nb_ignored_files > 0: logger.info(f"Skipped {nb_ignored_files} file(s) in commit (ignored by gitignore file).")