import { CompletionProvider } from "./core/autocomplete/CompletionProvider"
import { MinimalConfigProvider } from "./core/autocomplete/MinimalConfig"
import { IDE, ILLM } from "./core/index.d"
import { OpenAI } from "./core/llm/llms/OpenAI"

// 1. Create configuration
const config = new MinimalConfigProvider({
  tabAutocompleteOptions: {
    debounceDelay: 150,
    maxPromptTokens: 1024,
    useCache: true,
  },
})

// 2. Create LLM provider
async function getLlm(): Promise<ILLM | undefined> {
  return new OpenAI({
    apiKey: process.env.OPENAI_API_KEY || "",
    model: "gpt-4",
    completionOptions: {
      temperature: 0.1,
      maxTokens: 1000,
    },
  })
}

// 3. Error handler
function onError(error: any) {
  console.error("Autocomplete error:", error)
  // Show user notification
}

// 4. LSP definitions function (optional but recommended)
async function getDefinitionsFromLsp(filepath: string, contents: string, cursorIndex: number, ide: IDE, lang: any) {
  // Implement LSP integration or return empty array
  return []
}

// 5. Create completion provider
const completionProvider = new CompletionProvider(
  config,
  ide, // Your IDE implementation
  getLlm,
  onError,
  getDefinitionsFromLsp,
)

import { v4 as uuidv4 } from "uuid"

async function requestCompletion(filepath: string, line: number, character: number) {
  // Create abort controller for cancellation
  const abortController = new AbortController()

  // Create completion request
  const outcome = await completionProvider.provideInlineCompletionItems(
    {
      filepath: filepath,
      pos: { line, character },
      completionId: uuidv4(),
      recentlyEditedRanges: [],
      recentlyEditedFiles: new Map(),
      clipboardText: "",
    },
    abortController.signal,
  )

  if (outcome) {
    console.log("Completion:", outcome.completion)
    console.log("Latency:", outcome.latency, "ms")
    console.log("Cache hit:", outcome.cacheHit)

    return outcome
  }

  return null
}

class AutocompleteManager {
  private currentCompletionId: string | null = null
  private currentOutcome: any = null

  async requestCompletion(filepath: string, position: Position) {
    const completionId = uuidv4()
    this.currentCompletionId = completionId

    const outcome = await completionProvider.provideInlineCompletionItems(
      {
        filepath,
        pos: position,
        completionId,
        recentlyEditedRanges: [],
        recentlyEditedFiles: new Map(),
        clipboardText: "",
      },
      this.abortController.signal,
    )

    if (outcome) {
      this.currentOutcome = outcome
      this.displayCompletion(outcome)

      // Mark as displayed for logging
      completionProvider.markDisplayed(completionId, outcome)
    }
  }

  acceptCompletion() {
    if (this.currentCompletionId && this.currentOutcome) {
      // Apply the completion to the editor
      this.applyToEditor(this.currentOutcome.completion)

      // Notify provider of acceptance
      completionProvider.accept(this.currentCompletionId)

      this.currentCompletionId = null
      this.currentOutcome = null
    }
  }

  rejectCompletion() {
    // Just clear without notifying (rejection is default)
    this.currentCompletionId = null
    this.currentOutcome = null
    this.hideCompletion()
  }

  cancelInProgress() {
    completionProvider.cancel()
    this.currentCompletionId = null
  }

  private displayCompletion(outcome: any) {
    // Display as ghost text in your editor
  }

  private hideCompletion() {
    // Remove ghost text from editor
  }

  private applyToEditor(completion: string) {
    // Insert completion into editor
  }
}

async function requestCompletionWithContext(
  filepath: string,
  position: Position,
  recentEdits: Range[],
  recentFiles: Map<string, [Range, number][]>,
) {
  const outcome = await completionProvider.provideInlineCompletionItems(
    {
      filepath,
      pos: position,
      completionId: uuidv4(),
      recentlyEditedRanges: recentEdits,
      recentlyEditedFiles: recentFiles,
      clipboardText: await getClipboard(),
    },
    abortController.signal,
  )

  return outcome
}

// Track recent edits
class RecentEditsTracker {
  private edits: Map<string, Range[]> = new Map()

  recordEdit(filepath: string, range: Range) {
    const fileEdits = this.edits.get(filepath) || []
    fileEdits.push(range)

    // Keep only last 10 edits per file
    if (fileEdits.length > 10) {
      fileEdits.shift()
    }

    this.edits.set(filepath, fileEdits)
  }

  getRecentEdits(filepath: string): Range[] {
    return this.edits.get(filepath) || []
  }

  getAllRecentFiles(): Map<string, [Range, number][]> {
    const result = new Map()
    for (const [file, ranges] of this.edits.entries()) {
      result.set(
        file,
        ranges.map((r, i) => [r, Date.now() - i * 1000]),
      )
    }
    return result
  }
}

import { NextEditProvider } from "./core/nextEdit/NextEditProvider"
import { MinimalConfigProvider } from "./core/autocomplete/MinimalConfig"
import { ILLM, IDE } from "./core"

// 1. Configuration (shared with autocomplete)
const config = new MinimalConfigProvider()

// 2. LLM provider for NextEdit (can be different from autocomplete)
async function getNextEditLlm(): Promise<ILLM | undefined> {
  return new OpenAI({
    apiKey: process.env.OPENAI_API_KEY || "",
    model: "gpt-4", // Or specialized model like 'instinct' or 'mercury-coder'
  })
}

// 3. Error handler
function onNextEditError(error: any) {
  console.error("NextEdit error:", error)
}

// 4. Create NextEdit provider
const nextEditProvider = new NextEditProvider(
  config,
  ide, // Your IDE implementation
  getNextEditLlm,
  onNextEditError,
)

async function requestEditPrediction(
  filepath: string,
  position: Position,
  fileContents: string,
  userRecentEdit?: string,
) {
  const outcome = await nextEditProvider.getNextEditPrediction(
    {
      filepath,
      pos: position,
      fileContents,
      userEdits: userRecentEdit || "",
      // Additional context can be provided here
    },
    abortController.signal,
    false, // Use partial file diff (faster)
  )

  if (outcome) {
    console.log("Edit regions:", outcome.editableRegions)
    console.log("Number of changes:", outcome.diffLines.length)
    console.log("New cursor position:", outcome.finalCursorPosition)

    return outcome
  }

  return null
}

async function requestFullFileEdit(filepath: string, position: Position, fileContents: string) {
  // Use full file diff for comprehensive changes
  const outcome = await nextEditProvider.getNextEditPrediction(
    {
      filepath,
      pos: position,
      fileContents,
      userEdits: "",
    },
    abortController.signal,
    true, // Use full file diff
  )

  if (outcome) {
    // Apply all changes to the file
    await applyDiffToFile(filepath, outcome.diffLines)

    // Move cursor to final position
    moveCursorTo(outcome.finalCursorPosition)
  }
}

import { DiffLine } from "./core"

class NextEditManager {
  async requestAndConfirmEdit(filepath: string, position: Position, fileContents: string) {
    const outcome = await nextEditProvider.getNextEditPrediction(
      { filepath, pos: position, fileContents, userEdits: "" },
      abortController.signal,
    )

    if (!outcome) {
      return
    }

    // Show diff preview to user
    const userAccepted = await this.showDiffPreview(outcome.diffLines)

    if (userAccepted) {
      await this.applyEdits(filepath, outcome)
      console.log("Edit applied successfully")
    } else {
      console.log("Edit rejected by user")
    }
  }

  private async showDiffPreview(diffLines: DiffLine[]): Promise<boolean> {
    // Display diff in UI and get user confirmation
    console.log("Diff preview:")
    for (const line of diffLines) {
      const prefix = line.type === "new" ? "+" : line.type === "old" ? "-" : " "
      console.log(`${prefix} ${line.line}`)
    }

    // Return true if user accepts
    return true
  }

  private async applyEdits(filepath: string, outcome: any) {
    // Apply the edits to the file
    await ide.writeFile(filepath, outcome.edits)

    // Move cursor
    await ide.setCursorPosition(outcome.finalCursorPosition)
  }
}

async function handleMultiRegionEdit(filepath: string, position: Position, fileContents: string) {
  const outcome = await nextEditProvider.getNextEditPrediction(
    { filepath, pos: position, fileContents, userEdits: "" },
    abortController.signal,
    false, // Partial file mode for multiple regions
  )

  if (!outcome || !outcome.editableRegions) {
    return
  }

  console.log(`Found ${outcome.editableRegions.length} edit regions:`)

  // Display each region
  for (const region of outcome.editableRegions) {
    console.log(`Region: lines ${region.start.line} - ${region.end.line}`)

    // Extract changes for this region
    const regionDiff = outcome.diffLines.filter(
      (line) => line.lineNumber >= region.start.line && line.lineNumber <= region.end.line,
    )

    // Show region preview
    displayRegionPreview(region, regionDiff)
  }

  // Allow user to jump between regions or accept all
}

function displayRegionPreview(region: Range, diffLines: DiffLine[]) {
  console.log(`\nRegion ${region.start.line}-${region.end.line}:`)
  for (const line of diffLines) {
    console.log(`  ${line.type}: ${line.line}`)
  }
}

const customConfig = new MinimalConfigProvider({
  tabAutocompleteOptions: {
    // Timing
    debounceDelay: 200, // Wait 200ms after typing stops

    // Token limits
    maxPromptTokens: 2048, // Max tokens for entire prompt
    prefixPercentage: 0.6, // 60% of tokens for prefix
    suffixPercentage: 0.2, // 20% of tokens for suffix
    maxSuffixPercentage: 0.4, // Never more than 40% for suffix

    // Context
    maxSnippetPercentage: 0.5, // 50% max for code snippets
    useOtherFiles: true, // Include other files
    onlyMyCode: false, // Include library code

    // Behavior
    useCache: true, // Enable caching
    useFileSuffix: true, // Include code after cursor
    multilineCompletions: "auto", // Auto-detect multiline

    // Performance
    slidingWindowSize: 500, // Sliding window for context
    slidingWindowPrefixPercentage: 0.75, // Use 75% for prefix in window

    // Generation
    tokensPerCompletion: 256, // Max tokens to generate
    transform: true, // Apply post-processing

    // Filtering
    disableInFiles: ["*.md", "*.txt"], // Disable in these files
    stopTokens: ["```", "---"], // Custom stop sequences
  },

  experimental: {
    enableStaticContextualization: true, // Experimental features
  },
})

// Configuration optimized for different models
const gpt4Config = new MinimalConfigProvider({
  tabAutocompleteOptions: {
    maxPromptTokens: 4096,
    tokensPerCompletion: 512,
    temperature: 0.1,
  },
})

const claudeConfig = new MinimalConfigProvider({
  tabAutocompleteOptions: {
    maxPromptTokens: 8192,
    tokensPerCompletion: 1024,
    temperature: 0.2,
  },
})

const codelamaConfig = new MinimalConfigProvider({
  tabAutocompleteOptions: {
    maxPromptTokens: 2048,
    tokensPerCompletion: 256,
    multilineCompletions: "always",
  },
})

class DynamicConfigProvider extends MinimalConfigProvider {
  constructor() {
    super()
  }

  async loadConfig() {
    // Adjust config based on file type
    const currentFile = await ide.getCurrentFile()
    const fileExtension = currentFile?.filepath.split(".").pop()

    if (fileExtension === "py") {
      // Python-specific settings
      this.config.tabAutocompleteOptions = {
        ...this.config.tabAutocompleteOptions,
        multilineCompletions: "always",
        stopTokens: ['"""', "'''"],
      }
    } else if (fileExtension === "ts" || fileExtension === "tsx") {
      // TypeScript-specific settings
      this.config.tabAutocompleteOptions = {
        ...this.config.tabAutocompleteOptions,
        maxPromptTokens: 2048,
      }
    }

    return { config: this.config }
  }
}

import * as vscode from 'vscode';
import {
  CompletionProvider,
  MinimalConfigProvider
} from './core/autocomplete';

class VSCodeAutocompleteIntegration
  implements vscode.InlineCompletionItemProvider
{
  private completionProvider: CompletionProvider;
  private currentCompletionId: string | null = null;

  constructor() {
    const config = new MinimalConfigProvider();
    const ide = new VSCodeIdeAdapter();

    this.completionProvider = new CompletionProvider(
      config,
      ide,
      this.getLlm.bind(this),
      this.onError.bind(this),
      this.getDefinitionsFromLsp.bind(this)
    );
  }

  async provideInlineCompletionItems(
    document: vscode.TextDocument,
    position: vscode.Position,
    context: vscode.InlineCompletionContext,
    token: vscode.CancellationToken
  ): Promise<vscode.InlineCompletionItem[]> {

    const completionId = uuidv4();
    this.currentCompletionId = completionId;

    const outcome = await this.completionProvider.provideInlineCompletionItems(
      {
        filepath: document.uri.fsPath,
        pos: { line: position.line, character: position.character },
        completionId,
        recentlyEditedRanges: this.getRecentEdits(document),
        recentlyEditedFiles: this.getRecentFiles(),
        clipboardText: await vscode.env.clipboard.readText(),
      },
      this.toAbortSignal(token)
    );

    if (!outcome) {
      return [];
    }

    // Mark as displayed
    this.completionProvider.markDisplayed(completionId, outcome);

    // Convert to VSCode format
    return [
      new vscode.InlineCompletionItem(
        outcome.completion,
        new vscode.Range(position, position)
      )
    ];
  }

  private async getLlm() {
    return new OpenAI({
      apiKey: vscode.workspace.getConfiguration('continue').get('apiKey'),
      model: 'gpt-4',
    });
  }

  private onError(error: any) {
    vscode.window.showErrorMessage(`Autocomplete error: ${error.message}`);
  }

  private async getDefinitionsFromLsp(
    filepath: string,
    contents: string,
    cursorIndex: number,
    ide: IDE,
    lang: any
  ) {
    // Use VSCode's LSP
    const uri = vscode.Uri.file(filepath);
    const position = /* convert cursorIndex to Position */;
    const definitions = await vscode.commands.executeCommand(
      'vscode.executeDefinitionProvider',
      uri,
      position
    );
    return /* convert to expected format */;
  }

  private getRecentEdits(document: vscode.TextDocument): Range[] {
    // Track edits in your extension
    return [];
  }

  private getRecentFiles(): Map<string, [Range, number][]> {
    // Track recently edited files
    return new Map();
  }

  private toAbortSignal(token: vscode.CancellationToken): AbortSignal {
    const controller = new AbortController();
    token.onCancellationRequested(() => controller.abort());
    return controller.signal;
  }
}

// Register the provider
export function activate(context: vscode.ExtensionContext) {
  const provider = new VSCodeAutocompleteIntegration();

  const disposable = vscode.languages.registerInlineCompletionItemProvider(
    { pattern: '**' },
    provider
  );

  context.subscriptions.push(disposable);
}

import { IDE, Position, Range, FileEdit } from "./core"
import * as fs from "fs"
import * as path from "path"

class SimpleFileSystemIDE implements IDE {
  private workspaceDir: string
  private currentFile: string | null = null

  constructor(workspaceDir: string) {
    this.workspaceDir = workspaceDir
  }

  async readFile(filepath: string): Promise<string> {
    return fs.readFileSync(filepath, "utf-8")
  }

  async writeFile(filepath: string, contents: string): Promise<void> {
    fs.writeFileSync(filepath, contents, "utf-8")
  }

  async getWorkspaceDirs(): Promise<string[]> {
    return [this.workspaceDir]
  }

  async getCurrentFile() {
    if (!this.currentFile) {
      return undefined
    }
    return {
      filepath: this.currentFile,
      contents: await this.readFile(this.currentFile),
    }
  }

  async getCursorPosition(): Promise<Position> {
    // In a simple implementation, you'd track this
    return { line: 0, character: 0 }
  }

  async listWorkspaceContents(directory?: string): Promise<string[]> {
    const dir = directory || this.workspaceDir
    return fs.readdirSync(dir)
  }

  async getVisibleFiles(): Promise<string[]> {
    return this.currentFile ? [this.currentFile] : []
  }

  async applyEdits(edits: FileEdit[]): Promise<void> {
    for (const edit of edits) {
      const contents = await this.readFile(edit.filepath)
      const lines = contents.split("\n")

      // Apply edit
      const startLine = edit.range.start.line
      const endLine = edit.range.end.line
      const startChar = edit.range.start.character
      const endChar = edit.range.end.character

      const before = lines.slice(0, startLine).join("\n") + "\n" + lines[startLine].substring(0, startChar)
      const after = lines[endLine].substring(endChar) + "\n" + lines.slice(endLine + 1).join("\n")

      const newContents = before + edit.replacement + after
      await this.writeFile(edit.filepath, newContents)
    }
  }

  // Implement other required IDE methods...
  async getDefinition(filepath: string, position: Position) {
    return [] // No LSP support in simple implementation
  }

  async getIdeInfo() {
    return {
      name: "SimpleIDE",
      version: "1.0.0",
      remoteName: "",
      extensionVersion: "1.0.0",
    }
  }

  async getIdeSettings() {
    return {
      remoteConfigServerUrl: undefined,
      remoteConfigSyncPeriod: 60,
      userToken: "",
      enableControlServerBeta: false,
      enableDebugLogs: false,
    }
  }

  async isTelemetryEnabled() {
    return false
  }

  async getUniqueId() {
    return "simple-ide-instance"
  }

  // ... implement remaining IDE methods
}

import { CompletionStreamer } from './core/autocomplete/generation/CompletionStreamer';

class ProgressiveCompletionDisplay {
  private currentCompletion = '';

  async streamCompletion(
    llm: ILLM,
    prefix: string,
    suffix: string,
    prompt: string
  ) {
    const streamer = new CompletionStreamer((error) => {
      console.error('Streaming error:', error);
    });

    const helper = /* create HelperVars */;
    const completionOptions = { /* ... */ };

    const stream = streamer.streamCompletionWithFilters(
      abortController.signal,
      llm,
      prefix,
      suffix,
      prompt,
      true,  // multiline
      completionOptions,
      helper
    );

    // Stream and display progressively
    for await (const chunk of stream) {
      this.currentCompletion += chunk;
      this.updateDisplay(this.currentCompletion);
    }

    return this.currentCompletion;
  }

  private updateDisplay(completion: string) {
    // Update UI with partial completion
    console.log('Current completion:', completion);
  }
}

class DatabaseContextProvider {
  async getContextForFile(filepath: string): Promise<string> {
    // Fetch relevant context from database
    const apiDocs = await this.fetchApiDocs(filepath);
    const examples = await this.fetchExamples(filepath);

    return `
API Documentation:
${apiDocs}

Examples:
${examples}
`;
  }

  private async fetchApiDocs(filepath: string): Promise<string> {
    // Query your database for API documentation
    return '/* API docs */';
  }

  private async fetchExamples(filepath: string): Promise<string> {
    // Query for code examples
    return '/* Examples */';
  }
}

// Integrate into context gathering
class EnhancedContextRetrieval {
  private dbProvider = new DatabaseContextProvider();

  async gatherContext(filepath: string, helper: HelperVars) {
    // Standard context
    const standardContext = /* gather using ContextRetrievalService */;

    // Custom context from database
    const dbContext = await this.dbProvider.getContextForFile(filepath);

    return {
      ...standardContext,
      additionalContext: dbContext,
    };
  }
}

class PerformanceMonitor {
  private metrics: Map<string, number[]> = new Map();

  async monitorCompletionPerformance() {
    const startTime = Date.now();

    const outcome = await completionProvider.provideInlineCompletionItems(
      /* ... */,
      abortController.signal
    );

    const latency = Date.now() - startTime;

    // Record metric
    this.recordMetric('completion_latency', latency);

    // Log detailed timing
    console.log('Performance:', {
      totalLatency: latency,
      llmLatency: outcome?.latency,
      cacheHit: outcome?.cacheHit,
      completionLength: outcome?.completion.length,
    });

    return outcome;
  }

  private recordMetric(name: string, value: number) {
    const values = this.metrics.get(name) || [];
    values.push(value);
    this.metrics.set(name, values);
  }

  getAverageLatency(): number {
    const latencies = this.metrics.get('completion_latency') || [];
    return latencies.reduce((a, b) => a + b, 0) / latencies.length;
  }

  getCacheHitRate(): number {
    // Calculate from logged outcomes
    return 0.75;  // 75% cache hit rate
  }
}

class ResilientCompletionProvider {
  private fallbackLlm: ILLM
  private maxRetries = 3

  async provideWithFallback(input: any, signal: AbortSignal) {
    for (let attempt = 0; attempt < this.maxRetries; attempt++) {
      try {
        const outcome = await completionProvider.provideInlineCompletionItems(input, signal)

        if (outcome) {
          return outcome
        }
      } catch (error) {
        console.error(`Attempt ${attempt + 1} failed:`, error)

        if (attempt < this.maxRetries - 1) {
          // Wait before retry
          await this.delay(1000 * (attempt + 1))
        } else {
          // Try fallback LLM on final attempt
          return await this.tryFallbackLlm(input, signal)
        }
      }
    }

    return null
  }

  private async tryFallbackLlm(input: any, signal: AbortSignal) {
    console.log("Trying fallback LLM...")
    // Use a simpler/faster model as fallback
    return null
  }

  private delay(ms: number): Promise<void> {
    return new Promise((resolve) => setTimeout(resolve, ms))
  }
}

import { CompletionProvider } from "./core/autocomplete"
import { describe, it, expect, vi } from "vitest"

describe("CompletionProvider", () => {
  it("should generate completion", async () => {
    // Mock dependencies
    const mockIde = {
      readFile: vi.fn().mockResolvedValue("file contents"),
      getWorkspaceDirs: vi.fn().mockResolvedValue(["/workspace"]),
      // ... other methods
    }

    const mockLlm = {
      model: "gpt-4",
      streamFim: async function* (prefix, suffix, signal) {
        yield "function "
        yield "test() {"
        yield "\n  return true;\n}"
      },
      // ... other methods
    }

    const config = new MinimalConfigProvider()
    const provider = new CompletionProvider(
      config,
      mockIde as any,
      async () => mockLlm as any,
      (e) => console.error(e),
      async () => [],
    )

    // Request completion
    const outcome = await provider.provideInlineCompletionItems(
      {
        filepath: "/test.ts",
        pos: { line: 5, character: 0 },
        completionId: "test-1",
        recentlyEditedRanges: [],
        recentlyEditedFiles: new Map(),
        clipboardText: "",
      },
      new AbortController().signal,
    )

    expect(outcome).toBeDefined()
    expect(outcome?.completion).toContain("function test()")
  })
})