@W-21605883

 SDK refactoring for function

Author: ritaagarwala-sf

src/datacustomcode/file/base.py

@@ -13,7 +13,13 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 from __future__ import annotations
+from abc import abstractmethod
+from pathlib import Path
 
 
 class BaseDataAccessLayer:
-    """Base class for data access layer implementations."""
+    def __init__(self):
+        pass
+
+    @abstractmethod
+    def find_file_path(self, file_name: str) -> Path: ...

src/datacustomcode/function_runtime/FunctionRuntime.py

@@ -0,0 +1,14 @@
+# Copyright (c) 2025, Salesforce, Inc.
+# SPDX-License-Identifier: Apache-2
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.

src/datacustomcode/llm_gateway/LLMGateway.py

@@ -19,14 +19,9 @@
 from datacustomcode.proxy.base import BaseProxyAccessLayer
 
 
-class BaseLLMGateway:
+class LLMGateway:
     def __init__(self):
         pass
 
     @abstractmethod
     def generate_text(self, GenerateTextRequest) -> GenerateTextResponse: ...
-
-    @abstractmethod
-    def llm_gateway_generate_text(
-        self, template, values, llmModelId: str, maxTokens: int
-    ): ...

src/datacustomcode/llm_gateway/__init__.py

@@ -0,0 +1,32 @@
+# Copyright (c) 2025, Salesforce, Inc.
+# SPDX-License-Identifier: Apache-2
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from datacustomcode.llm_gateway.base import LLMGateway
+from datacustomcode.llm_gateway.types.generate_text_request import GenerateTextRequest
+from datacustomcode.llm_gateway.types.generate_text_response import GenerateTextResponse
+
+
+class DefaultLLMGateway(LLMGateway):
+    def generate_text(
+            self,
+            request: GenerateTextRequest
+    ) -> GenerateTextResponse:
+
+
+        response_data = {
+            'generation' : {'generatedText' : "I am dreaming!!"},
+        }
+
+        return GenerateTextResponse(200, {"data": response_data})

src/datacustomcode/llm_gateway/base.py

@@ -0,0 +1,57 @@
+from datacustomcode.validator.base import Validator
+from datacustomcode.llm_gateway.types.generate_text_request import GenerateTextRequest
+
+
+class GenerateTextRequestValidator:
+    @staticmethod
+    def create_validator() -> Validator:
+        """Create a validator with all CEL rules for GenerateTextRequest"""
+        validator = Validator()
+
+        # Rule 1: version == "v1" (CEL: const)
+        validator.add_rule(
+            id="request.version_v1",
+            message="Platform currently only supports version 'v1'",
+            expression=lambda this: this.version == "v1"
+        )
+
+        # Rule 2: modelName.size() >= 1 (CEL: min_len)
+        validator.add_rule(
+            id="request.model_name_required",
+            message="modelName must not be empty (min_len: 1)",
+            expression=lambda this: len(this.model_name) >= 1
+        )
+
+        return validator
+
+class GenerateTextRequestBuilder:
+    def __init__(self):
+        self._validator = GenerateTextRequestValidator.create_validator()
+        self._version = "v1" # Hardcoded default for your SDK
+        self._prompt = ""
+        self._model_name = ""
+
+
+    def set_prompt(self, prompt: str):
+        self._prompt = prompt
+        return self
+
+    def set_model(self, model_name: str):
+        self._model_name = model_name
+        return self
+
+    def build(self) -> GenerateTextRequest:
+
+        request = GenerateTextRequest(
+            version=self._version,
+            prompt=self._prompt,
+            model_name=self._model_name
+        )
+
+        # 2. Run the Protovalidate check
+        # This reads the 'max_len: 1000' rule from the .proto metadata
+        violations = self._validator.validate(request)
+        if violations:
+            raise ValueError(f"Validation Error: {violations}")
+
+        return request

src/datacustomcode/llm_gateway/default.py

@@ -0,0 +1,62 @@
+
+from dataclasses import dataclass
+from typing import Optional
+
+import betterproto
+import grpclib
+
+from .google import protobuf
+
+
+class GenerateTextResponseBuilder:
+    def __init__(self):
+        self._validator = Validator()
+        self._rules = validate_pb2.MessageConstraints()
+
+        # Rule 1: Prompt Length
+        prompt_rule = self.rules.cel.add()
+        prompt_rule.id = "request.prompt_limit"
+        prompt_rule.message = "Prompt must be 1-1000 characters."
+        prompt_rule.expression = "this.prompt.size() > 0 && this.prompt.size() <= 1000"
+
+        # Rule 3: ModelName Constraint
+        model_name_rule = self.rules.cel.add()
+        version_rule.id = "request.version_v1"
+        version_rule.message = "Platform currently only supports version 'v1'."
+        version_rule.expression = "this.version == 'v1'"
+
+        self._version = "v1" # Hardcoded default for your SDK
+        self._prompt = ""
+        self._model_name = ""
+
+
+    def validate(self, request: GenerateTextRequest):
+        violations = self.validator.validate(request, constraints=self.rules)
+        if violations:
+            # protovalidate returns a structured 'Violations' object
+            error_msg = "; ".join([v.message for v in violations.violations])
+            raise ValueError(f"GenerateTextRequest Validation Failed: {error_msg}")
+
+    def set_prompt(self, prompt: str):
+        self._prompt = prompt
+        return self
+
+    def set_model(self, model_name: str):
+        self._model_name = model_name
+        return self
+
+    def build(self) -> GenerateTextRequest:
+
+        request = GenerateTextRequest(
+            version=self._version,
+            prompt=self._prompt,
+            model_name=self._model_name
+        )
+
+        # 2. Run the Protovalidate check
+        # This reads the 'max_len: 1000' rule from the .proto metadata
+        violations = _validator.validate(request)
+        if violations:
+            raise ValueError(f"Validation Error: {violations}")
+
+        return request