refactor(pydantic): Remaining migrations for deprecated functions (#1757)

These were missed in #1748.

Author: Jesse Claven

docs/examples/content-type/README.ipynb

@@ -203,7 +203,7 @@
     "\n",
     "response = requests.post(\n",
     "    \"http://localhost:8080/v2/models/content-type-example/infer\",\n",
-    "    json=payload.dict()\n",
+    "    json=payload.model_dump()\n",
     ")\n",
     "\n",
     "response_payload = InferenceResponse.parse_raw(response.text)\n",

docs/examples/content-type/README.md

@@ -146,7 +146,7 @@ payload = InferenceRequest(
 
 response = requests.post(
     "http://localhost:8080/v2/models/content-type-example/infer",
-    json=payload.dict()
+    json=payload.model_dump()
 )
 
 response_payload = InferenceResponse.parse_raw(response.text)

docs/examples/custom/README.ipynb

@@ -311,7 +311,7 @@
     ")\n",
     "\n",
     "endpoint = \"http://localhost:8080/v2/models/numpyro-divorce/infer\"\n",
-    "response = requests.post(endpoint, json=inference_request.dict())\n",
+    "response = requests.post(endpoint, json=inference_request.model_dump())\n",
     "\n",
     "response.json()"
    ]
@@ -411,7 +411,7 @@
     ")\n",
     "\n",
     "endpoint = \"http://localhost:8080/v2/models/numpyro-divorce/infer\"\n",
-    "response = requests.post(endpoint, json=inference_request.dict())\n",
+    "response = requests.post(endpoint, json=inference_request.model_dump())\n",
     "\n",
     "response.json()"
    ]

docs/examples/custom/README.md

@@ -226,7 +226,7 @@ inference_request = InferenceRequest(
 )
 
 endpoint = "http://localhost:8080/v2/models/numpyro-divorce/infer"
-response = requests.post(endpoint, json=inference_request.dict())
+response = requests.post(endpoint, json=inference_request.model_dump())
 
 response.json()
 ```
@@ -285,7 +285,7 @@ inference_request = InferenceRequest(
 )
 
 endpoint = "http://localhost:8080/v2/models/numpyro-divorce/infer"
-response = requests.post(endpoint, json=inference_request.dict())
+response = requests.post(endpoint, json=inference_request.model_dump())
 
 response.json()
 ```

docs/getting-started/index.md

@@ -169,7 +169,7 @@ MLServer) you will need to **convert them to a Python dict or a JSON string**.
 
 Luckily, these classes leverage [Pydantic](https://docs.pydantic.dev/latest/)
 under the hood.
-Therefore you can just call the `.dict()` or `.json()` method to convert them.
+Therefore you can just call the `.model_dump()` or `.model_dump_json()` method to convert them.
 Likewise, to read them back from JSON, we can always pass the JSON fields as
 kwargs to the class' constructor (or use any of the [other
 methods](https://docs.pydantic.dev/latest/usage/models/#model-properties)

docs/user-guide/content-type.md

@@ -24,7 +24,7 @@ def custom_module_settings_path(
     # Add modified settings, pointing to local module
     model_settings_path = os.path.join(tmp_path, DEFAULT_MODEL_SETTINGS_FILENAME)
     with open(model_settings_path, "w") as f:
-        settings_dict = sum_model_settings.dict()
+        settings_dict = sum_model_settings.model_dump()
         # Point to local module
         settings_dict["implementation"] = "fixtures.SumModel"
         f.write(json.dumps(settings_dict))

tests/repository/test_load.py

@@ -21,7 +21,6 @@
                 "data": [21.0],
                 "parameters": {
                     "content_type": NumpyCodec.ContentType,
-                    "headers": None,
                 },
             },
         ),
@@ -35,7 +34,6 @@
                 "data": ["\x01\x02"],
                 "parameters": {
                     "content_type": NumpyCodec.ContentType,
-                    "headers": None,
                 },
             },
         ),
@@ -49,7 +47,6 @@
                 "data": ["hey", "what's", "up"],
                 "parameters": {
                     "content_type": StringCodec.ContentType,
-                    "headers": None,
                 },
             },
         ),
@@ -63,7 +60,6 @@
                 "data": ["UHl0aG9uIGlzIGZ1bg=="],
                 "parameters": {
                     "content_type": Base64Codec.ContentType,
-                    "headers": None,
                 },
             },
         ),
@@ -73,7 +69,7 @@ def test_encode_output_tensor(decoded: Any, codec: InputCodec, expected: dict):
     # Serialise response into final output bytes
     payload = codec.encode_output(name="output-0", payload=decoded)
     response = Response(content=None)
-    rendered_as_bytes = response.render(payload.dict())
+    rendered_as_bytes = response.render(payload.model_dump())
 
     # Decode response back into JSON and check if it matches the expected one
     rendered = rendered_as_bytes.decode("utf8")