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package com.simiacryptus.skyenet.apps.plan
import com.simiacryptus.jopenai.ApiModel
import com.simiacryptus.jopenai.util.ClientUtil.toContentList
import com.simiacryptus.jopenai.util.JsonUtil
import com.simiacryptus.skyenet.Discussable
import com.simiacryptus.skyenet.TabbedDisplay
import com.simiacryptus.skyenet.core.actors.ParsedResponse
import com.simiacryptus.skyenet.core.actors.SimpleActor
import com.simiacryptus.skyenet.webui.session.SessionTask
import com.simiacryptus.skyenet.webui.util.MarkdownUtil
import org.slf4j.LoggerFactory
import java.util.concurrent.Semaphore
import java.util.concurrent.atomic.AtomicReference
class InquiryTask(
settings: Settings,
task: PlanCoordinator.Task
) : AbstractTask(settings, task) {
val inquiryActor by lazy {
SimpleActor(
name = "Inquiry",
prompt = """
|Create code for a new file that fulfills the specified requirements and context.
|Given a detailed user request, break it down into smaller, actionable tasks suitable for software development.
|Compile comprehensive information and insights on the specified topic.
|Provide a comprehensive overview, including key concepts, relevant technologies, best practices, and any potential challenges or considerations.
|Ensure the information is accurate, up-to-date, and well-organized to facilitate easy understanding.
|When generating insights, consider the existing project context and focus on information that is directly relevant and applicable.
|Focus on generating insights and information that support the task types available in the system (Requirements, NewFile, EditFile, ${
if (!settings.taskPlanningEnabled) "" else "TaskPlanning, "
}${
if (!settings.shellCommandTaskEnabled) "" else "RunShellCommand, "
}Documentation).
|This will ensure that the inquiries are tailored to assist in the planning and execution of tasks within the system's framework.
""".trimMargin(),
model = settings.model,
temperature = settings.temperature,
)
}
override fun promptSegment(): String {
return """
|Inquiry - Answer questions by reading in files and providing a summary that can be discussed with and approved by the user
| ** Specify the questions and the goal of the inquiry
| ** List input files to be examined when answering the questions
""".trimMargin()
}
override fun run(
agent: PlanCoordinator,
taskId: String,
userMessage: String,
plan: ParsedResponse,
genState: PlanCoordinator.GenState,
task: SessionTask,
taskTabs: TabbedDisplay
) {
val toInput = { it: String ->
listOf(
userMessage,
plan.text,
getPriorCode(genState),
getInputFileCode(),
it,
).filter { it.isNotBlank() }
}
val inquiryResult = Discussable(
task = task,
userMessage = { "Expand ${this.description ?: ""}\n${JsonUtil.toJson(data = this)}" },
heading = "",
initialResponse = { it: String -> inquiryActor.answer(toInput(it), api = agent.api) },
outputFn = { design: String ->
MarkdownUtil.renderMarkdown(design, ui = agent.ui)
},
ui = agent.ui,
reviseResponse = { userMessages: List> ->
inquiryActor.respond(
messages = (userMessages.map { ApiModel.ChatMessage(it.second, it.first.toContentList()) }
.toTypedArray()),
input = toInput("Expand ${this.description ?: ""}\n${JsonUtil.toJson(data = this)}"),
api = agent.api
)
},
atomicRef = AtomicReference(),
semaphore = Semaphore(0),
).call()
genState.taskResult[taskId] = inquiryResult
}
companion object {
private val log = LoggerFactory.getLogger(InquiryTask::class.java)
}
}
