fix: improve ollama docs, s/ollama_dir/ollama_home/g (#619)

Author: alexanderankin

modules/ollama/testcontainers/ollama/__init__.py

@@ -34,27 +34,67 @@ class OllamaContainer(DockerContainer):
     """
     Ollama Container
 
-    Example:
+    :param: image - the ollama image to use (default: :code:`ollama/ollama:0.1.44`)
+    :param: ollama_home - the directory to mount for model data (default: None)
+
+    you may pass :code:`pathlib.Path.home() / ".ollama"` to re-use models
+    that have already been pulled with ollama running on this host outside the container.
+
+    Examples:
 
         .. doctest::
 
             >>> from testcontainers.ollama import OllamaContainer
             >>> with OllamaContainer() as ollama:
             ...     ollama.list_models()
             []
+
+        .. code-block:: python
+
+            >>> from json import loads
+            >>> from pathlib import Path
+            >>> from requests import post
+            >>> from testcontainers.ollama import OllamaContainer
+            >>> def split_by_line(generator):
+            ...     data = b''
+            ...     for each_item in generator:
+            ...         for line in each_item.splitlines(True):
+            ...             data += line
+            ...             if data.endswith((b'\\r\\r', b'\\n\\n', b'\\r\\n\\r\\n', b'\\n')):
+            ...                 yield from data.splitlines()
+            ...                 data = b''
+            ...     if data:
+            ...         yield from data.splitlines()
+
+            >>> with OllamaContainer(ollama_home=Path.home() / ".ollama") as ollama:
+            ...     if "llama3:latest" not in [e["name"] for e in ollama.list_models()]:
+            ...         print("did not find 'llama3:latest', pulling")
+            ...         ollama.pull_model("llama3:latest")
+            ...     endpoint = ollama.get_endpoint()
+            ...     for chunk in split_by_line(
+            ...         post(url=f"{endpoint}/api/chat", stream=True, json={
+            ...             "model": "llama3:latest",
+            ...             "messages": [{
+            ...                 "role": "user",
+            ...                 "content": "what color is the sky? MAX ONE WORD"
+            ...             }]
+            ...         })
+            ...      ):
+            ...          print(loads(chunk)["message"]["content"], end="")
+            Blue.
     """
 
     OLLAMA_PORT = 11434
 
     def __init__(
         self,
         image: str = "ollama/ollama:0.1.44",
-        ollama_dir: Optional[Union[str, PathLike]] = None,
+        ollama_home: Optional[Union[str, PathLike]] = None,
         **kwargs,
         #
     ):
         super().__init__(image=image, **kwargs)
-        self.ollama_dir = ollama_dir
+        self.ollama_home = ollama_home
         self.with_exposed_ports(OllamaContainer.OLLAMA_PORT)
         self._check_and_add_gpu_capabilities()
 
@@ -67,8 +107,8 @@ def start(self) -> "OllamaContainer":
         """
         Start the Ollama server
         """
-        if self.ollama_dir:
-            self.with_volume_mapping(self.ollama_dir, "/root/.ollama", "rw")
+        if self.ollama_home:
+            self.with_volume_mapping(self.ollama_home, "/root/.ollama", "rw")
         super().start()
         wait_for_logs(self, "Listening on ", timeout=30)
 

modules/ollama/tests/test_ollama.py

@@ -49,12 +49,12 @@ def test_download_model_and_commit_to_image():
 
 
 def test_models_saved_in_folder(tmp_path: Path):
-    with OllamaContainer("ollama/ollama:0.1.26", ollama_dir=tmp_path) as ollama:
+    with OllamaContainer("ollama/ollama:0.1.26", ollama_home=tmp_path) as ollama:
         assert len(ollama.list_models()) == 0
         ollama.pull_model("all-minilm")
         assert len(ollama.list_models()) == 1
         assert "all-minilm" in ollama.list_models()[0].get("name")
 
-    with OllamaContainer("ollama/ollama:0.1.26", ollama_dir=tmp_path) as ollama:
+    with OllamaContainer("ollama/ollama:0.1.26", ollama_home=tmp_path) as ollama:
         assert len(ollama.list_models()) == 1
         assert "all-minilm" in ollama.list_models()[0].get("name")