Enrich contact no-key info pane with first-in-use date

app/models.py

@@ -233,6 +233,44 @@ class NameOnlyContactDetail(BaseModel):
     most_active_rooms: list[ContactActiveRoom] = Field(default_factory=list)
 
 
+class ContactAnalyticsHourlyBucket(BaseModel):
+    """A single hourly activity bucket for contact analytics."""
+
+    bucket_start: int = Field(description="Unix timestamp for the start of the hour bucket")
+    last_24h_count: int = 0
+    last_week_average: float = 0
+    all_time_average: float = 0
+
+
+class ContactAnalyticsWeeklyBucket(BaseModel):
+    """A single weekly activity bucket for contact analytics."""
+
+    bucket_start: int = Field(description="Unix timestamp for the start of the 7-day bucket")
+    message_count: int = 0
+
+
+class ContactAnalytics(BaseModel):
+    """Unified contact analytics payload for keyed and name-only lookups."""
+
+    lookup_type: Literal["contact", "name"]
+    name: str
+    contact: Contact | None = None
+    name_first_seen_at: int | None = None
+    name_history: list[ContactNameHistory] = Field(default_factory=list)
+    dm_message_count: int = 0
+    channel_message_count: int = 0
+    includes_direct_messages: bool = False
+    most_active_rooms: list[ContactActiveRoom] = Field(default_factory=list)
+    advert_paths: list[ContactAdvertPath] = Field(default_factory=list)
+    advert_frequency: float | None = Field(
+        default=None,
+        description="Advert observations per hour (includes multi-path arrivals of same advert)",
+    )
+    nearest_repeaters: list[NearestRepeater] = Field(default_factory=list)
+    hourly_activity: list[ContactAnalyticsHourlyBucket] = Field(default_factory=list)
+    weekly_activity: list[ContactAnalyticsWeeklyBucket] = Field(default_factory=list)
+
+
 class Channel(BaseModel):
     key: str = Field(description="Channel key (32-char hex)")
     name: str

app/repository/messages.py

@@ -3,10 +3,28 @@ import time
 from typing import Any
 
 from app.database import db
-from app.models import Message, MessagePath
+from app.models import (
+    ContactAnalyticsHourlyBucket,
+    ContactAnalyticsWeeklyBucket,
+    Message,
+    MessagePath,
+)
 
 
 class MessageRepository:
+    @staticmethod
+    def _contact_activity_filter(public_key: str) -> tuple[str, list[Any]]:
+        lower_key = public_key.lower()
+        return (
+            "((type = 'PRIV' AND LOWER(conversation_key) = ?)"
+            " OR (type = 'CHAN' AND LOWER(sender_key) = ?))",
+            [lower_key, lower_key],
+        )
+
+    @staticmethod
+    def _name_activity_filter(sender_name: str) -> tuple[str, list[Any]]:
+        return "type = 'CHAN' AND sender_name = ?", [sender_name]
+
     @staticmethod
     def _parse_paths(paths_json: str | None) -> list[MessagePath] | None:
         """Parse paths JSON string to list of MessagePath objects."""
@@ -555,6 +573,16 @@ class MessageRepository:
         row = await cursor.fetchone()
         return row["cnt"] if row else 0
 
+    @staticmethod
+    async def get_first_channel_message_by_sender_name(sender_name: str) -> int | None:
+        """Get the earliest stored channel message timestamp for a display name."""
+        cursor = await db.conn.execute(
+            "SELECT MIN(received_at) AS first_seen FROM messages WHERE type = 'CHAN' AND sender_name = ?",
+            (sender_name,),
+        )
+        row = await cursor.fetchone()
+        return row["first_seen"] if row and row["first_seen"] is not None else None
+
     @staticmethod
     async def get_channel_stats(conversation_key: str) -> dict:
         """Get channel message statistics: time-windowed counts, first message, unique senders, top senders.
@@ -663,3 +691,114 @@ class MessageRepository:
         )
         rows = await cursor.fetchall()
         return [(row["conversation_key"], row["channel_name"], row["cnt"]) for row in rows]
+
+    @staticmethod
+    async def _get_activity_hour_buckets(where_sql: str, params: list[Any]) -> dict[int, int]:
+        cursor = await db.conn.execute(
+            f"""
+            SELECT received_at / 3600 AS hour_bucket, COUNT(*) AS cnt
+            FROM messages
+            WHERE {where_sql}
+            GROUP BY hour_bucket
+            """,
+            params,
+        )
+        rows = await cursor.fetchall()
+        return {int(row["hour_bucket"]): row["cnt"] for row in rows}
+
+    @staticmethod
+    def _build_hourly_activity(
+        hour_counts: dict[int, int], now: int
+    ) -> list[ContactAnalyticsHourlyBucket]:
+        current_hour = now // 3600
+        if hour_counts:
+            min_hour = min(hour_counts)
+        else:
+            min_hour = current_hour
+
+        buckets: list[ContactAnalyticsHourlyBucket] = []
+        for hour_bucket in range(current_hour - 23, current_hour + 1):
+            last_24h_count = hour_counts.get(hour_bucket, 0)
+
+            week_total = 0
+            week_samples = 0
+            all_time_total = 0
+            all_time_samples = 0
+            compare_hour = hour_bucket
+            while compare_hour >= min_hour:
+                count = hour_counts.get(compare_hour, 0)
+                all_time_total += count
+                all_time_samples += 1
+                if week_samples < 7:
+                    week_total += count
+                    week_samples += 1
+                compare_hour -= 24
+
+            buckets.append(
+                ContactAnalyticsHourlyBucket(
+                    bucket_start=hour_bucket * 3600,
+                    last_24h_count=last_24h_count,
+                    last_week_average=round(week_total / week_samples, 2) if week_samples else 0,
+                    all_time_average=round(all_time_total / all_time_samples, 2)
+                    if all_time_samples
+                    else 0,
+                )
+            )
+        return buckets
+
+    @staticmethod
+    async def _get_weekly_activity(
+        where_sql: str,
+        params: list[Any],
+        now: int,
+        weeks: int = 26,
+    ) -> list[ContactAnalyticsWeeklyBucket]:
+        bucket_seconds = 7 * 24 * 3600
+        current_day_start = (now // 86400) * 86400
+        start = current_day_start - (weeks - 1) * bucket_seconds
+
+        cursor = await db.conn.execute(
+            f"""
+            SELECT (received_at - ?) / ? AS bucket_idx, COUNT(*) AS cnt
+            FROM messages
+            WHERE {where_sql} AND received_at >= ?
+            GROUP BY bucket_idx
+            """,
+            [start, bucket_seconds, *params, start],
+        )
+        rows = await cursor.fetchall()
+        counts = {int(row["bucket_idx"]): row["cnt"] for row in rows}
+
+        return [
+            ContactAnalyticsWeeklyBucket(
+                bucket_start=start + bucket_idx * bucket_seconds,
+                message_count=counts.get(bucket_idx, 0),
+            )
+            for bucket_idx in range(weeks)
+        ]
+
+    @staticmethod
+    async def get_contact_activity_series(
+        public_key: str,
+        now: int | None = None,
+    ) -> tuple[list[ContactAnalyticsHourlyBucket], list[ContactAnalyticsWeeklyBucket]]:
+        """Get combined DM + channel activity series for a keyed contact."""
+        ts = now if now is not None else int(time.time())
+        where_sql, params = MessageRepository._contact_activity_filter(public_key)
+        hour_counts = await MessageRepository._get_activity_hour_buckets(where_sql, params)
+        hourly = MessageRepository._build_hourly_activity(hour_counts, ts)
+        weekly = await MessageRepository._get_weekly_activity(where_sql, params, ts)
+        return hourly, weekly
+
+    @staticmethod
+    async def get_sender_name_activity_series(
+        sender_name: str,
+        now: int | None = None,
+    ) -> tuple[list[ContactAnalyticsHourlyBucket], list[ContactAnalyticsWeeklyBucket]]:
+        """Get channel-only activity series for a sender name."""
+        ts = now if now is not None else int(time.time())
+        where_sql, params = MessageRepository._name_activity_filter(sender_name)
+        hour_counts = await MessageRepository._get_activity_hour_buckets(where_sql, params)
+        hourly = MessageRepository._build_hourly_activity(hour_counts, ts)
+        weekly = await MessageRepository._get_weekly_activity(where_sql, params, ts)
+        return hourly, weekly

app/routers/contacts.py

@@ -10,6 +10,7 @@ from app.models import (
     ContactActiveRoom,
     ContactAdvertPath,
     ContactAdvertPathSummary,
+    ContactAnalytics,
     ContactDetail,
     ContactRoutingOverrideRequest,
     ContactUpsert,
@@ -92,6 +93,102 @@ async def _broadcast_contact_update(contact: Contact) -> None:
     broadcast_event("contact", contact.model_dump())
 
 
+async def _build_keyed_contact_analytics(contact: Contact) -> ContactAnalytics:
+    name_history = await ContactNameHistoryRepository.get_history(contact.public_key)
+    dm_count = await MessageRepository.count_dm_messages(contact.public_key)
+    chan_count = await MessageRepository.count_channel_messages_by_sender(contact.public_key)
+    active_rooms_raw = await MessageRepository.get_most_active_rooms(contact.public_key)
+    advert_paths = await ContactAdvertPathRepository.get_recent_for_contact(contact.public_key)
+    hourly_activity, weekly_activity = await MessageRepository.get_contact_activity_series(
+        contact.public_key
+    )
+
+    most_active_rooms = [
+        ContactActiveRoom(channel_key=key, channel_name=name, message_count=count)
+        for key, name, count in active_rooms_raw
+    ]
+
+    advert_frequency: float | None = None
+    if advert_paths:
+        total_observations = sum(p.heard_count for p in advert_paths)
+        earliest = min(p.first_seen for p in advert_paths)
+        latest = max(p.last_seen for p in advert_paths)
+        span_hours = (latest - earliest) / 3600.0
+        if span_hours > 0:
+            advert_frequency = round(total_observations / span_hours, 2)
+
+    first_hop_stats: dict[str, dict] = {}
+    for p in advert_paths:
+        prefix = p.next_hop
+        if prefix:
+            if prefix not in first_hop_stats:
+                first_hop_stats[prefix] = {
+                    "heard_count": 0,
+                    "path_len": p.path_len,
+                    "last_seen": p.last_seen,
+                }
+            first_hop_stats[prefix]["heard_count"] += p.heard_count
+            first_hop_stats[prefix]["last_seen"] = max(
+                first_hop_stats[prefix]["last_seen"], p.last_seen
+            )
+
+    resolved_contacts = await ContactRepository.resolve_prefixes(list(first_hop_stats.keys()))
+
+    nearest_repeaters: list[NearestRepeater] = []
+    for prefix, stats in first_hop_stats.items():
+        resolved = resolved_contacts.get(prefix)
+        nearest_repeaters.append(
+            NearestRepeater(
+                public_key=resolved.public_key if resolved else prefix,
+                name=resolved.name if resolved else None,
+                path_len=stats["path_len"],
+                last_seen=stats["last_seen"],
+                heard_count=stats["heard_count"],
+            )
+        )
+
+    nearest_repeaters.sort(key=lambda r: r.heard_count, reverse=True)
+
+    return ContactAnalytics(
+        lookup_type="contact",
+        name=contact.name or contact.public_key[:12],
+        contact=contact,
+        name_history=name_history,
+        dm_message_count=dm_count,
+        channel_message_count=chan_count,
+        includes_direct_messages=True,
+        most_active_rooms=most_active_rooms,
+        advert_paths=advert_paths,
+        advert_frequency=advert_frequency,
+        nearest_repeaters=nearest_repeaters,
+        hourly_activity=hourly_activity,
+        weekly_activity=weekly_activity,
+    )
+
+
+async def _build_name_only_contact_analytics(name: str) -> ContactAnalytics:
+    chan_count = await MessageRepository.count_channel_messages_by_sender_name(name)
+    name_first_seen_at = await MessageRepository.get_first_channel_message_by_sender_name(name)
+    active_rooms_raw = await MessageRepository.get_most_active_rooms_by_sender_name(name)
+    hourly_activity, weekly_activity = await MessageRepository.get_sender_name_activity_series(name)
+
+    most_active_rooms = [
+        ContactActiveRoom(channel_key=key, channel_name=room_name, message_count=count)
+        for key, room_name, count in active_rooms_raw
+    ]
+
+    return ContactAnalytics(
+        lookup_type="name",
+        name=name,
+        name_first_seen_at=name_first_seen_at,
+        channel_message_count=chan_count,
+        includes_direct_messages=False,
+        most_active_rooms=most_active_rooms,
+        hourly_activity=hourly_activity,
+        weekly_activity=weekly_activity,
+    )
+
+
 @router.get("", response_model=list[Contact])
 async def list_contacts(
     limit: int = Query(default=100, ge=1, le=1000),
@@ -115,6 +212,26 @@ async def list_repeater_advert_paths(
     )
 
 
+@router.get("/analytics", response_model=ContactAnalytics)
+async def get_contact_analytics(
+    public_key: str | None = Query(default=None),
+    name: str | None = Query(default=None, min_length=1, max_length=200),
+) -> ContactAnalytics:
+    """Get unified contact analytics for either a keyed contact or a sender name."""
+    if bool(public_key) == bool(name):
+        raise HTTPException(status_code=400, detail="Specify exactly one of public_key or name")
+
+    if public_key:
+        contact = await _resolve_contact_or_404(public_key)
+        return await _build_keyed_contact_analytics(contact)
+
+    assert name is not None
+    normalized_name = name.strip()
+    if not normalized_name:
+        raise HTTPException(status_code=400, detail="name is required")
+    return await _build_name_only_contact_analytics(normalized_name)
+
+
 @router.post("", response_model=Contact)
 async def create_contact(
     request: CreateContactRequest, background_tasks: BackgroundTasks
@@ -180,73 +297,17 @@ async def get_contact_detail(public_key: str) -> ContactDetail:
     advertisement paths, advert frequency, and nearest repeaters.
     """
     contact = await _resolve_contact_or_404(public_key)
-
-    name_history = await ContactNameHistoryRepository.get_history(contact.public_key)
-    dm_count = await MessageRepository.count_dm_messages(contact.public_key)
-    chan_count = await MessageRepository.count_channel_messages_by_sender(contact.public_key)
-    active_rooms_raw = await MessageRepository.get_most_active_rooms(contact.public_key)
-    advert_paths = await ContactAdvertPathRepository.get_recent_for_contact(contact.public_key)
-
-    most_active_rooms = [
-        ContactActiveRoom(channel_key=key, channel_name=name, message_count=count)
-        for key, name, count in active_rooms_raw
-    ]
-
-    # Compute advert observation rate (observations/hour) from path data.
-    # Note: a single advertisement can arrive via multiple paths, so this counts
-    # RF observations, not unique advertisement broadcasts.
-    advert_frequency: float | None = None
-    if advert_paths:
-        total_observations = sum(p.heard_count for p in advert_paths)
-        earliest = min(p.first_seen for p in advert_paths)
-        latest = max(p.last_seen for p in advert_paths)
-        span_hours = (latest - earliest) / 3600.0
-        if span_hours > 0:
-            advert_frequency = round(total_observations / span_hours, 2)
-
-    # Compute nearest repeaters from first-hop prefixes in advert paths
-    first_hop_stats: dict[str, dict] = {}  # prefix -> {heard_count, path_len, last_seen}
-    for p in advert_paths:
-        prefix = p.next_hop
-        if prefix:
-            if prefix not in first_hop_stats:
-                first_hop_stats[prefix] = {
-                    "heard_count": 0,
-                    "path_len": p.path_len,
-                    "last_seen": p.last_seen,
-                }
-            first_hop_stats[prefix]["heard_count"] += p.heard_count
-            first_hop_stats[prefix]["last_seen"] = max(
-                first_hop_stats[prefix]["last_seen"], p.last_seen
-            )
-
-    # Resolve all first-hop prefixes to contacts in a single query
-    resolved_contacts = await ContactRepository.resolve_prefixes(list(first_hop_stats.keys()))
-
-    nearest_repeaters: list[NearestRepeater] = []
-    for prefix, stats in first_hop_stats.items():
-        resolved = resolved_contacts.get(prefix)
-        nearest_repeaters.append(
-            NearestRepeater(
-                public_key=resolved.public_key if resolved else prefix,
-                name=resolved.name if resolved else None,
-                path_len=stats["path_len"],
-                last_seen=stats["last_seen"],
-                heard_count=stats["heard_count"],
-            )
-        )
-
-    nearest_repeaters.sort(key=lambda r: r.heard_count, reverse=True)
-
+    analytics = await _build_keyed_contact_analytics(contact)
+    assert analytics.contact is not None
     return ContactDetail(
-        contact=contact,
-        name_history=name_history,
-        dm_message_count=dm_count,
-        channel_message_count=chan_count,
-        most_active_rooms=most_active_rooms,
-        advert_paths=advert_paths,
-        advert_frequency=advert_frequency,
-        nearest_repeaters=nearest_repeaters,
+        contact=analytics.contact,
+        name_history=analytics.name_history,
+        dm_message_count=analytics.dm_message_count,
+        channel_message_count=analytics.channel_message_count,
+        most_active_rooms=analytics.most_active_rooms,
+        advert_paths=analytics.advert_paths,
+        advert_frequency=analytics.advert_frequency,
+        nearest_repeaters=analytics.nearest_repeaters,
     )
 
 
@@ -258,18 +319,11 @@ async def get_name_only_contact_detail(
     normalized_name = name.strip()
     if not normalized_name:
         raise HTTPException(status_code=400, detail="name is required")
-
-    chan_count = await MessageRepository.count_channel_messages_by_sender_name(normalized_name)
-    active_rooms_raw = await MessageRepository.get_most_active_rooms_by_sender_name(normalized_name)
-    most_active_rooms = [
-        ContactActiveRoom(channel_key=key, channel_name=room_name, message_count=count)
-        for key, room_name, count in active_rooms_raw
-    ]
-
+    analytics = await _build_name_only_contact_analytics(normalized_name)
     return NameOnlyContactDetail(
-        name=normalized_name,
-        channel_message_count=chan_count,
-        most_active_rooms=most_active_rooms,
+        name=analytics.name,
+        channel_message_count=analytics.channel_message_count,
+        most_active_rooms=analytics.most_active_rooms,
     )