mirror of
https://gitea.toothfairyai.com/ToothFairyAI/tf_code.git
synced 2026-04-15 05:04:50 +00:00
refactor: apply minimal tfcode branding
- Rename packages/opencode → packages/tfcode (directory only) - Rename bin/opencode → bin/tfcode (CLI binary) - Rename .opencode → .tfcode (config directory) - Update package.json name and bin field - Update config directory path references (.tfcode) - Keep internal code references as 'opencode' for easy upstream sync - Keep @opencode-ai/* workspace package names This minimal branding approach allows clean merges from upstream opencode repository while providing tfcode branding for users.
This commit is contained in:
293
packages/tfcode/src/tool/read.ts
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293
packages/tfcode/src/tool/read.ts
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import z from "zod"
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import { createReadStream } from "fs"
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import * as fs from "fs/promises"
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import * as path from "path"
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import { createInterface } from "readline"
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import { Tool } from "./tool"
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import { LSP } from "../lsp"
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import { FileTime } from "../file/time"
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import DESCRIPTION from "./read.txt"
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import { Instance } from "../project/instance"
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import { assertExternalDirectory } from "./external-directory"
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import { InstructionPrompt } from "../session/instruction"
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import { Filesystem } from "../util/filesystem"
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const DEFAULT_READ_LIMIT = 2000
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const MAX_LINE_LENGTH = 2000
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const MAX_LINE_SUFFIX = `... (line truncated to ${MAX_LINE_LENGTH} chars)`
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const MAX_BYTES = 50 * 1024
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const MAX_BYTES_LABEL = `${MAX_BYTES / 1024} KB`
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export const ReadTool = Tool.define("read", {
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description: DESCRIPTION,
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parameters: z.object({
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filePath: z.string().describe("The absolute path to the file or directory to read"),
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offset: z.coerce.number().describe("The line number to start reading from (1-indexed)").optional(),
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limit: z.coerce.number().describe("The maximum number of lines to read (defaults to 2000)").optional(),
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}),
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async execute(params, ctx) {
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if (params.offset !== undefined && params.offset < 1) {
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throw new Error("offset must be greater than or equal to 1")
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}
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let filepath = params.filePath
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if (!path.isAbsolute(filepath)) {
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filepath = path.resolve(Instance.directory, filepath)
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}
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const title = path.relative(Instance.worktree, filepath)
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const stat = Filesystem.stat(filepath)
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await assertExternalDirectory(ctx, filepath, {
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bypass: Boolean(ctx.extra?.["bypassCwdCheck"]),
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kind: stat?.isDirectory() ? "directory" : "file",
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})
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await ctx.ask({
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permission: "read",
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patterns: [filepath],
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always: ["*"],
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metadata: {},
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})
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if (!stat) {
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const dir = path.dirname(filepath)
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const base = path.basename(filepath)
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const suggestions = await fs
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.readdir(dir)
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.then((entries) =>
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entries
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.filter(
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(entry) =>
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entry.toLowerCase().includes(base.toLowerCase()) || base.toLowerCase().includes(entry.toLowerCase()),
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)
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.map((entry) => path.join(dir, entry))
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.slice(0, 3),
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)
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.catch(() => [])
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if (suggestions.length > 0) {
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throw new Error(`File not found: ${filepath}\n\nDid you mean one of these?\n${suggestions.join("\n")}`)
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}
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throw new Error(`File not found: ${filepath}`)
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}
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if (stat.isDirectory()) {
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const dirents = await fs.readdir(filepath, { withFileTypes: true })
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const entries = await Promise.all(
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dirents.map(async (dirent) => {
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if (dirent.isDirectory()) return dirent.name + "/"
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if (dirent.isSymbolicLink()) {
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const target = await fs.stat(path.join(filepath, dirent.name)).catch(() => undefined)
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if (target?.isDirectory()) return dirent.name + "/"
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}
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return dirent.name
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}),
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)
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entries.sort((a, b) => a.localeCompare(b))
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const limit = params.limit ?? DEFAULT_READ_LIMIT
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const offset = params.offset ?? 1
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const start = offset - 1
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const sliced = entries.slice(start, start + limit)
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const truncated = start + sliced.length < entries.length
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const output = [
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`<path>${filepath}</path>`,
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`<type>directory</type>`,
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`<entries>`,
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sliced.join("\n"),
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truncated
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? `\n(Showing ${sliced.length} of ${entries.length} entries. Use 'offset' parameter to read beyond entry ${offset + sliced.length})`
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: `\n(${entries.length} entries)`,
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`</entries>`,
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].join("\n")
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return {
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title,
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output,
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metadata: {
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preview: sliced.slice(0, 20).join("\n"),
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truncated,
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loaded: [] as string[],
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},
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}
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}
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const instructions = await InstructionPrompt.resolve(ctx.messages, filepath, ctx.messageID)
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// Exclude SVG (XML-based) and vnd.fastbidsheet (.fbs extension, commonly FlatBuffers schema files)
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const mime = Filesystem.mimeType(filepath)
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const isImage = mime.startsWith("image/") && mime !== "image/svg+xml" && mime !== "image/vnd.fastbidsheet"
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const isPdf = mime === "application/pdf"
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if (isImage || isPdf) {
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const msg = `${isImage ? "Image" : "PDF"} read successfully`
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return {
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title,
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output: msg,
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metadata: {
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preview: msg,
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truncated: false,
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loaded: instructions.map((i) => i.filepath),
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},
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attachments: [
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{
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type: "file",
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mime,
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url: `data:${mime};base64,${Buffer.from(await Filesystem.readBytes(filepath)).toString("base64")}`,
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},
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],
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}
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}
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const isBinary = await isBinaryFile(filepath, Number(stat.size))
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if (isBinary) throw new Error(`Cannot read binary file: ${filepath}`)
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const stream = createReadStream(filepath, { encoding: "utf8" })
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const rl = createInterface({
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input: stream,
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// Note: we use the crlfDelay option to recognize all instances of CR LF
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// ('\r\n') in file as a single line break.
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crlfDelay: Infinity,
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})
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const limit = params.limit ?? DEFAULT_READ_LIMIT
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const offset = params.offset ?? 1
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const start = offset - 1
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const raw: string[] = []
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let bytes = 0
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let lines = 0
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let truncatedByBytes = false
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let hasMoreLines = false
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try {
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for await (const text of rl) {
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lines += 1
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if (lines <= start) continue
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if (raw.length >= limit) {
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hasMoreLines = true
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continue
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}
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const line = text.length > MAX_LINE_LENGTH ? text.substring(0, MAX_LINE_LENGTH) + MAX_LINE_SUFFIX : text
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const size = Buffer.byteLength(line, "utf-8") + (raw.length > 0 ? 1 : 0)
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if (bytes + size > MAX_BYTES) {
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truncatedByBytes = true
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hasMoreLines = true
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break
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}
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raw.push(line)
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bytes += size
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}
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} finally {
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rl.close()
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stream.destroy()
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}
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if (lines < offset && !(lines === 0 && offset === 1)) {
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throw new Error(`Offset ${offset} is out of range for this file (${lines} lines)`)
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}
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const content = raw.map((line, index) => {
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return `${index + offset}: ${line}`
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})
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const preview = raw.slice(0, 20).join("\n")
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let output = [`<path>${filepath}</path>`, `<type>file</type>`, "<content>"].join("\n")
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output += content.join("\n")
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const totalLines = lines
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const lastReadLine = offset + raw.length - 1
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const nextOffset = lastReadLine + 1
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const truncated = hasMoreLines || truncatedByBytes
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if (truncatedByBytes) {
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output += `\n\n(Output capped at ${MAX_BYTES_LABEL}. Showing lines ${offset}-${lastReadLine}. Use offset=${nextOffset} to continue.)`
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} else if (hasMoreLines) {
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output += `\n\n(Showing lines ${offset}-${lastReadLine} of ${totalLines}. Use offset=${nextOffset} to continue.)`
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} else {
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output += `\n\n(End of file - total ${totalLines} lines)`
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}
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output += "\n</content>"
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// just warms the lsp client
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LSP.touchFile(filepath, false)
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await FileTime.read(ctx.sessionID, filepath)
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if (instructions.length > 0) {
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output += `\n\n<system-reminder>\n${instructions.map((i) => i.content).join("\n\n")}\n</system-reminder>`
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}
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return {
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title,
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output,
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metadata: {
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preview,
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truncated,
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loaded: instructions.map((i) => i.filepath),
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},
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}
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},
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})
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async function isBinaryFile(filepath: string, fileSize: number): Promise<boolean> {
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const ext = path.extname(filepath).toLowerCase()
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// binary check for common non-text extensions
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switch (ext) {
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case ".zip":
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case ".tar":
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case ".gz":
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case ".exe":
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case ".dll":
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case ".so":
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case ".class":
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case ".jar":
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case ".war":
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case ".7z":
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case ".doc":
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case ".docx":
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case ".xls":
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case ".xlsx":
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case ".ppt":
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case ".pptx":
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case ".odt":
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case ".ods":
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case ".odp":
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case ".bin":
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case ".dat":
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case ".obj":
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case ".o":
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case ".a":
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case ".lib":
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case ".wasm":
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case ".pyc":
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case ".pyo":
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return true
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default:
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break
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}
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if (fileSize === 0) return false
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const fh = await fs.open(filepath, "r")
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try {
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const sampleSize = Math.min(4096, fileSize)
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const bytes = Buffer.alloc(sampleSize)
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const result = await fh.read(bytes, 0, sampleSize, 0)
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if (result.bytesRead === 0) return false
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let nonPrintableCount = 0
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for (let i = 0; i < result.bytesRead; i++) {
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if (bytes[i] === 0) return true
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if (bytes[i] < 9 || (bytes[i] > 13 && bytes[i] < 32)) {
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nonPrintableCount++
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}
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}
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// If >30% non-printable characters, consider it binary
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return nonPrintableCount / result.bytesRead > 0.3
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} finally {
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await fh.close()
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}
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}
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