[ts] 6/n tests for PaLM Text Model Parser

## What

tests for PaLM text model parser

Something to note, not resolved, the palm api for node.js and python seem different.

So what should happen in the config json? Best thing to do here is to just standardize it? pr #400 rfc

typescript/__tests__/parsers/palm-text/palm-text.aiconfig.json

@@ -0,0 +1,48 @@
+{
+    "name": "Exploring NYC through PaLM Config",
+    "description": "",
+    "schema_version": "latest",
+    "metadata": {
+        "models": {
+            "models/text-bison-001": {
+                "model": "models/text-bison-001",
+                "topP": 0.9,
+                "temperature": 0.9
+            }
+        },
+        "default_model": "models/text-bison-001",
+        "model_parsers": {
+            "models/text-bison-001": "models/text-bison-001"
+        }
+    },
+    "prompts": [
+        {
+            "name": "prompt1",
+            "input": "What is your favorite condiment?"
+        },
+        {
+            "name": "prompt2",
+            "input": "What are 5 interesting things to do in Rome?",
+            "metadata": {
+                "model": {
+                    "name": "models/text-bison-001",
+                    "settings": {
+                        "top_p": 0.7
+                    }
+                }
+            }
+        },
+        {
+            "name": "promptWithParams",
+            "input": "What's your favorite building in {{city}}?",
+            "metadata": {
+                "model": {
+                    "name": "models/text-bison-001"
+                },
+                "parameters": {
+                    "city": "London"
+                }
+            }
+        }
+    ]
+}

typescript/__tests__/parsers/palm-text/palm.test.ts

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+import { AIConfigRuntime } from "../../../lib/config";
+import path from "path";
+import { ExecuteResult, Output, Prompt } from "../../../types";
+import { TextServiceClient, protos } from "@google-ai/generativelanguage";
+import { PaLMTextParser } from "../../../lib/parsers/palm";
+import { JSONObject } from "../../../common";
+import { getAPIKeyFromEnv } from "../../../lib/utils";
+
+const PALM_CONFIG_PATH = path.join(__dirname, "palm-text.aiconfig.json");
+
+const mockGetApiKeyFromEnv = getAPIKeyFromEnv as jest.MockedFunction<typeof getAPIKeyFromEnv>;
+
+// This could probably be abstracted out into a test util
+jest.mock("../../../lib/utils", () => {
+  const originalModule = jest.requireActual("../../../lib/utils");
+  return {
+    ...originalModule,
+    getAPIKeyFromEnv: jest.fn(),
+  };
+});
+
+mockGetApiKeyFromEnv.mockReturnValue("test-api-key");
+
+describe("PaLM Text ModelParser", () => {
+  test("serializing params to config prompt", async () => {
+    // no need to instantiate model parser. Load will instantiate it for us since its a default parser
+    const aiConfig = AIConfigRuntime.load(PALM_CONFIG_PATH);
+
+    const completionParams: protos.google.ai.generativelanguage.v1beta2.IGenerateTextRequest = {
+      model: "models/text-bison-001",
+      // Note: top_p matches global config settings for the model and temperature is different
+      topP: 0.9,
+      temperature: 0.8,
+      prompt: { text: "What are 5 interesting things to do in Toronto?" },
+    };
+
+    // Casting as JSONObject since the type of completionParams is protos.google.ai.generativelanguage.v1beta2.IGenerateTextRequest doesn't confrom to shape even though it looks like it does
+    const prompts = (await aiConfig.serialize("models/text-bison-001", completionParams as JSONObject, "interestingThingsToronto")) as Prompt[];
+
+    expect(prompts).toHaveLength(1);
+    const prompt = prompts[0];
+
+    expect(prompt.name).toEqual("interestingThingsToronto");
+    expect(prompt.input).toEqual("What are 5 interesting things to do in Toronto?");
+    expect(prompt.metadata?.model).toEqual({
+      name: "models/text-bison-001",
+      settings: {
+        temperature: 0.8,
+      },
+    });
+  });
+
+  test("deserializing params to config", async () => {
+    const aiconfig = AIConfigRuntime.load(PALM_CONFIG_PATH);
+
+    const deserialized = await aiconfig.resolve("prompt1");
+    expect(deserialized).toEqual({
+      model: "models/text-bison-001",
+      temperature: 0.9,
+      topP: 0.9,
+      prompt: { text: "What is your favorite condiment?" },
+      topK: null,
+      candidateCount: null,
+      maxOutputTokens: null,
+      safetySettings: null,
+      stopSequences: null,
+    });
+  });
+
+  test("run prompt, non-streaming", async () => {
+    // When Jest Mocking Palm Text Generation, Typing requires a never type for the return value of generateText. Not sure why this is happening
+    // TODO: @ankush-lastmile Figure out why this is happening
+    jest.spyOn(TextServiceClient.prototype, "generateText").mockResolvedValue([
+      {
+        candidates: [
+          {
+            safetyRatings: [
+              {
+                category: "HARM_CATEGORY_DEROGATORY",
+                probability: "NEGLIGIBLE",
+              },
+              {
+                category: "HARM_CATEGORY_TOXICITY",
+                probability: "NEGLIGIBLE",
+              },
+              {
+                category: "HARM_CATEGORY_VIOLENCE",
+                probability: "NEGLIGIBLE",
+              },
+              {
+                category: "HARM_CATEGORY_SEXUAL",
+                probability: "NEGLIGIBLE",
+              },
+              {
+                category: "HARM_CATEGORY_MEDICAL",
+                probability: "NEGLIGIBLE",
+              },
+              {
+                category: "HARM_CATEGORY_DANGEROUS",
+                probability: "NEGLIGIBLE",
+              },
+            ],
+            output: "Ranch",
+          },
+        ],
+        filters: [],
+        safetyFeedback: [],
+      },
+      null,
+      null,
+    ] as never);
+
+    const aiconfig = AIConfigRuntime.load(PALM_CONFIG_PATH);
+
+    const [result] = (await aiconfig.run("prompt1")) as Output[];
+    expect((result as ExecuteResult).data).toEqual("Ranch");
+  });
+});