132 lines
3.4 KiB
JavaScript
Executable file
132 lines
3.4 KiB
JavaScript
Executable file
// export_shared_agents.js
|
|
// Emits strict Extended JSON to stdout (safe JSON for ObjectId/Date)
|
|
|
|
const pipeline = [
|
|
{ $match: { resourceType: "agent" } },
|
|
{ $group: { _id: "$resourceId", count: { $sum: 1 } } },
|
|
{ $match: { count: { $gt: 1 } } },
|
|
{
|
|
$lookup: {
|
|
from: "agents",
|
|
localField: "_id",
|
|
foreignField: "_id",
|
|
as: "agentDetails"
|
|
}
|
|
},
|
|
{ $unwind: "$agentDetails" },
|
|
{
|
|
$lookup: {
|
|
from: "users",
|
|
localField: "agentDetails.author",
|
|
foreignField: "_id",
|
|
as: "authorDetails"
|
|
}
|
|
},
|
|
{ $unwind: { path: "$authorDetails", preserveNullAndEmptyArrays: true } },
|
|
{ $set: { "agentDetails.author": "$authorDetails.email" } },
|
|
|
|
// NEW: Get usage timeline - daily message counts
|
|
{
|
|
$lookup: {
|
|
from: "conversations",
|
|
let: { agentId: "$agentDetails.id" },
|
|
pipeline: [
|
|
{
|
|
$match: {
|
|
$expr: { $eq: ["$agent_id", "$$agentId"] },
|
|
endpoint: "agents"
|
|
}
|
|
},
|
|
// Unwind messages array to get individual message ObjectIds
|
|
{ $unwind: "$messages" },
|
|
// Lookup actual message documents
|
|
{
|
|
$lookup: {
|
|
from: "messages",
|
|
localField: "messages",
|
|
foreignField: "_id",
|
|
as: "messageDoc"
|
|
}
|
|
},
|
|
{ $unwind: "$messageDoc" },
|
|
// Group by date to count messages per day
|
|
{
|
|
$group: {
|
|
_id: {
|
|
$dateToString: {
|
|
format: "%Y-%m-%d",
|
|
date: "$messageDoc.createdAt"
|
|
}
|
|
},
|
|
messageCount: { $sum: 1 }
|
|
}
|
|
},
|
|
// Sort by date
|
|
{ $sort: { _id: 1 } },
|
|
// Reshape to nice format
|
|
{
|
|
$project: {
|
|
_id: 0,
|
|
date: "$_id",
|
|
message_count: "$messageCount"
|
|
}
|
|
}
|
|
],
|
|
as: "usageTimeline"
|
|
}
|
|
},
|
|
|
|
// NEW: Get usage summary stats
|
|
{
|
|
$lookup: {
|
|
from: "conversations",
|
|
let: { agentId: "$agentDetails.id" },
|
|
pipeline: [
|
|
{
|
|
$match: {
|
|
$expr: { $eq: ["$agent_id", "$$agentId"] },
|
|
endpoint: "agents"
|
|
}
|
|
},
|
|
{
|
|
$group: {
|
|
_id: null,
|
|
conversationCount: { $sum: 1 },
|
|
uniqueUsers: { $addToSet: "$user" },
|
|
totalMessages: { $sum: { $size: "$messages" } },
|
|
firstUsed: { $min: "$createdAt" },
|
|
lastUsed: { $max: "$updatedAt" }
|
|
}
|
|
}
|
|
],
|
|
as: "usageSummary"
|
|
}
|
|
},
|
|
{ $unwind: { path: "$usageSummary", preserveNullAndEmptyArrays: true } },
|
|
|
|
// Add usage data to agentDetails
|
|
{
|
|
$set: {
|
|
"agentDetails.usage_timeline": "$usageTimeline",
|
|
"agentDetails.usage_summary": {
|
|
conversation_count: { $ifNull: ["$usageSummary.conversationCount", 0] },
|
|
unique_users: { $ifNull: [{ $size: "$usageSummary.uniqueUsers" }, 0] },
|
|
total_messages: { $ifNull: ["$usageSummary.totalMessages", 0] },
|
|
first_used: "$usageSummary.firstUsed",
|
|
last_used: "$usageSummary.lastUsed"
|
|
}
|
|
}
|
|
},
|
|
|
|
{ $project: {
|
|
"agentDetails.versions": 0,
|
|
"agentDetails.instructions": 0,
|
|
"authorDetails": 0,
|
|
"usageTimeline": 0,
|
|
"usageSummary": 0
|
|
}
|
|
}
|
|
];
|
|
|
|
const out = db.aclentries.aggregate(pipeline).toArray();
|
|
print(EJSON.stringify(out, { relaxed: false, indent: 2 }));
|