feat: web UI chat render, panels, presence + analytics

backend/src/utils/read/analytics.py

@@ -0,0 +1,69 @@
+from datetime import UTC, datetime, timedelta
+
+import asyncpg
+
+from utils.read.accounts import self_user_id
+from utils.read.models import ResponseStats, VolumeBucket
+
+
+async def message_volume(
+    pool: asyncpg.Pool, account_id: int, chat_id: int, *, days: int = 90
+) -> list[VolumeBucket]:
+    self_id = await self_user_id(pool, account_id)
+    rows = await pool.fetch(
+        "SELECT date_trunc('day', date) AS bucket, count(*) AS total, "
+        "count(*) FILTER (WHERE sender_id = $3) AS outgoing "
+        "FROM messages "
+        "WHERE account_id = $1 AND chat_id = $2 AND date >= $4 "
+        "GROUP BY bucket ORDER BY bucket",
+        account_id,
+        chat_id,
+        self_id,
+        datetime.now(UTC) - timedelta(days=days),
+    )
+    return [
+        VolumeBucket(
+            bucket=row["bucket"],
+            total=row["total"],
+            outgoing=row["outgoing"],
+            incoming=row["total"] - row["outgoing"],
+        )
+        for row in rows
+    ]
+
+
+async def response_stats(
+    pool: asyncpg.Pool, account_id: int, chat_id: int
+) -> ResponseStats:
+    self_id = await self_user_id(pool, account_id)
+    rows = await pool.fetch(
+        "WITH ordered AS ("
+        "SELECT sender_id, date, "
+        "lag(sender_id) OVER w AS prev_sender, "
+        "lag(date) OVER w AS prev_date "
+        "FROM messages "
+        "WHERE account_id = $1 AND chat_id = $2 AND sender_id IS NOT NULL "
+        "WINDOW w AS (ORDER BY date, message_id)), "
+        "resp AS ("
+        "SELECT (sender_id = $3) AS is_mine, "
+        "EXTRACT(EPOCH FROM (date - prev_date)) AS secs "
+        "FROM ordered "
+        "WHERE prev_sender IS NOT NULL AND prev_sender <> sender_id) "
+        "SELECT is_mine, count(*) AS n, "
+        "percentile_cont(0.5) WITHIN GROUP (ORDER BY secs) AS median_secs "
+        "FROM resp GROUP BY is_mine",
+        account_id,
+        chat_id,
+        self_id,
+    )
+    stats = ResponseStats(
+        mine_median_seconds=None, mine_count=0, their_median_seconds=None, their_count=0
+    )
+    for row in rows:
+        if row["is_mine"]:
+            stats.mine_median_seconds = row["median_secs"]
+            stats.mine_count = row["n"]
+        else:
+            stats.their_median_seconds = row["median_secs"]
+            stats.their_count = row["n"]
+    return stats