Download model denoted by the given name to disk. Parameters: name (str): Name of the model to download. path (str): Path of the directory to save model into.
(self, name: str, path: str)
| 122 | return index[name] |
| 123 | |
| 124 | def download(self, name: str, path: str) -> None: |
| 125 | """ |
| 126 | Download model denoted by the given name to disk. |
| 127 | |
| 128 | Parameters: |
| 129 | name (str): |
| 130 | Name of the model to download. |
| 131 | path (str): |
| 132 | Path of the directory to save model into. |
| 133 | """ |
| 134 | url: str = "/".join( |
| 135 | (self._host, self._repository, self.RELEASE_PATH, self._release, name) |
| 136 | ) |
| 137 | url = f"{url}.tar.gz" |
| 138 | logger.info(f"Downloading model archive {url}") |
| 139 | with httpx.Client(http2=True) as client: |
| 140 | with client.stream("GET", url) as response: |
| 141 | response.raise_for_status() |
| 142 | archive = NamedTemporaryFile(delete=False) |
| 143 | try: |
| 144 | with archive as stream: |
| 145 | for chunk in response.iter_raw(): |
| 146 | stream.write(chunk) |
| 147 | logger.info("Validating archive checksum") |
| 148 | checksum: str = compute_file_checksum(archive.name) |
| 149 | if checksum != self.checksum(name): |
| 150 | raise IOError("Downloaded file is corrupted, please retry") |
| 151 | logger.info(f"Extracting downloaded {name} archive") |
| 152 | with tarfile.open(name=archive.name) as tar: |
| 153 | tar.extractall(path=path) |
| 154 | finally: |
| 155 | os.unlink(archive.name) |
| 156 | logger.info(f"{name} model file(s) extracted") |
nothing calls this directly
no test coverage detected