docs: better document deploy by checksum

README.md

@@ -409,7 +409,14 @@ artifact = art.artifacts.deploy("<LOCAL_FILE_LOCATION>", "<ARTIFACT_PATH_IN_ARTI
 artifact = art.artifacts.deploy("<LOCAL_FILE_LOCATION>", "<ARTIFACT_PATH_IN_ARTIFACTORY>", checksum_enabled=True)
 # artifact = art.artifacts.deploy("Desktop/myNewFile.txt", "my-repository/my/new/artifact/directory/file.txt", checksums=True)
 ```
-Note: the performance might suffer when deploying artifacts with checksums enabled.
+Deploy an artifact to the specified destination by checking if the artifact content already exists in Artifactory.
+
+If Artifactory already contains a user-readable artifact with the same checksum the artifact content is copied over
+to the new location and returns a response without requiring content transfer.
+
+Otherwise, a 404 error is returned to indicate that content upload is expected in order to deploy the artifact.
+
+**Note**: The performance might suffer when deploying artifacts with checksums enabled.
 
 #### Download an artifact
 ```python

pyartifactory/models/artifact.py

@@ -24,9 +24,9 @@ def generate(cls, file_: Path) -> Checksums:
  mapping: dict[str, Callable[[], Any]] = {"md5": hashlib.md5, "sha1": hashlib.sha1, "sha256": hashlib.sha256}
  results = {}
 
- for algorithm, hashing_function in mapping.items():
- hasher = hashing_function()
- with file_.absolute().open("rb") as fd:
+ with file_.absolute().open("rb") as fd:
+ for algorithm, hashing_function in mapping.items():
+  hasher = hashing_function()
  buf = fd.read(block_size)
  while len(buf) > 0:
  hasher.update(buf)