When agents send replies from the native Facebook Messenger app (not
Chatwoot), echo events were created without external_echo metadata and
could be misrepresented in the UI. This change updates Messenger echo
message creation to:
- set content_attributes.external_echo = true for outgoing_echo messages
- set echo message status to delivered
- keep sender as nil for echo messages (existing behavior)
<img width="2614" height="1264" alt="CleanShot 2026-02-26 at 16 32
04@2x"
src="https://github.com/user-attachments/assets/ba61c941-465d-4893-814e-855e6b6c79e8"
/>
The rollup path only emitted periods with data, while the raw path
uses group_by_period with default_value: 0 to include inactive periods.
This also reads group_by from params instead of calling a method that
summary builders don't implement.
DateRangeHelper#range builds an exclusive range (since...until), but
rollup_date_range was converting range.last directly to a date, causing
an extra day to be included when until falls at midnight.
Summary builders fetch all metrics in a single query and don't use
params[:metric], so metric_covered? was always returning false and
preventing rollup usage for summary reports.
Fix metric_covered? NoMethodError when metric param is nil - summary
builders don't pass a metric param, so add nil guard before calling
to_sym.
Fix business_hours not respected in rollup paths - rollup queries were
always using sum_value instead of switching to sum_value_business_hours
when business_hours param is true. Add rollup_value_column helper to
RollupConditions and use it across all rollup read paths.
Fix date range timezone mismatch in rollup queries - rollup date column
stores account-local dates but queries filtered with UTC DateTime
boundaries from DateRangeHelper. Add rollup_date_range helper that
converts UTC range to account-local dates and use it across all rollup
query paths.
Add TODO comment noting that the use_rollup parameter override is only
for validation purposes via the comparison rake task and should be
removed before merging to production.
Add explicit use_rollup parameter to BaseSummaryBuilder that can override
the automatic rollup detection logic. This allows the comparison rake task
to explicitly control whether to use rollup or raw data without toggling
feature flags. Cleaner approach that avoids database writes during comparison.
This PR adds a new standalone `GET
/api/v2/accounts/:id/reports/outgoing_messages_count` endpoint that
returns outgoing message counts grouped by agent, team, inbox, or label.
When businesses use WhatsApp Business App (co-existence mode) or
Instagram App or TikTok alongside Chatwoot, messages sent from the
native apps were not synced properly back to Chatwoot. This left agents
with an incomplete conversation history and no visibility into responses
sent outside the dashboard. Additionally, if these echo messages did
arrive, they appeared as "Sent by: Bot" in the UI since they had no
sender, making it confusing for agents.
This PR subscribes to WhatsApp `smb_message_echoes` webhook events and
routes them through the existing service with an `outgoing_echo` flag,
mirroring how Instagram already handles echoes. On the Instagram side,
echo messages now also carry the `external_echo` content attribute and
`delivered` status.
On the frontend, messages with `externalEcho` are distinguished from bot
messages showing a "Native app" avatar and an advisory note encouraging
agents to reply from Chatwoot to maintain the service window.
<img width="1518" height="524" alt="CleanShot 2026-01-29 at 13 37 57@2x"
src="https://github.com/user-attachments/assets/5aa0b552-6382-441f-96aa-9a62ca716e4a"
/>
Fixes
https://linear.app/chatwoot/issue/CW-4204/display-messages-not-sent-from-chatwoot-in-case-of-outgoing-echo
Fixes
https://linear.app/chatwoot/issue/PLA-33/incoming-from-me-messages-from-whatsapp-business-app-are-not-falling
The index is already added in production.
Adds a new reporting API that returns conversation counts grouped by
channel type and first response time buckets (0-1h, 1-4h, 4-8h, 8-24h,
24h+).
- GET /api/v2/accounts/:id/reports/first_response_time_distribution
- Uses SQL aggregation to handle large datasets efficiently
- Adds composite index on reporting_events for query performance
Tested on production workload.
Request: GET
`/api/v2/accounts/1/reports/first_response_time_distribution?since=<since>&until=<until>`
Response payload:
```
{
"Channel::WebWidget": {
"0-1h": 120,
"1-4h": 85,
"4-8h": 32,
"8-24h": 12,
"24h+": 3
},
"Channel::Email": {
"0-1h": 12,
"1-4h": 28,
"4-8h": 45,
"8-24h": 35,
"24h+": 10
},
"Channel::FacebookPage": {
"0-1h": 50,
"1-4h": 30,
"4-8h": 15,
"8-24h": 8,
"24h+": 2
}
}
```
---------
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
This PR added new API endpoint GET
/api/v2/accounts/:account_id/reports/inbox_label_matrix that returns
conversation counts grouped by inbox and label in a matrix format.
Supports optional filtering by date range, inbox_ids, and label_ids.
---------
Co-authored-by: Pranav <pranav@chatwoot.com>
This API gives you how many conversations exist per channel, broken down
by status in a given time period. The max time period is capped to 6
months for now.
**Input Params:**
- **since:** Unix timestamp (seconds) - start of date range
- **until:** Unix timestamp (seconds) - end of date range
**Response Payload:**
```json
{
"Channel::Sms": {
"resolved": 85,
"snoozed": 10,
"open": 5,
"pending": 5,
"total": 100
},
"Channel::Email": {
"resolved": 72,
"snoozed": 15,
"open": 13,
"pending": 13,
"total": 100
},
"Channel::WebWidget": {
"resolved": 90,
"snoozed": 7,
"open": 3,
"pending": 3,
"total": 100
}
}
```
**Definitons:**
resolved = Number of conversations created within the selected time
period that are currently marked as resolved.
snoozed = Number of conversations created within the selected time
period that are currently marked as snoozed.
pending = Number of conversations created within the selected time
period that are currently marked as pending.
open = Number of conversations created within the selected time period
that are currently open.
total = Total number of conversations created within the selected time
period, across all statuses.
Fixes
https://linear.app/chatwoot/issue/CW-6070/argumenterror-ephemeral-is-not-a-valid-file-type-argumenterror
**Problem**
The instagram webhooks containing ephemeral (disappearing) message were
causing ArgumentError exceptions because this attachment type is not
supported and was not in the enum validation.
**Solution**
- Added ephemeral to the unsupported_file_type? filter
- Ephemeral attachments are now silently filtered out before processing,
following the same pattern as existing unsupported types (template,
unsupported_type)
This PR collapses multiple queries fetching stats from a single table to
a single query
```sql
SELECT
user_id as user_id,
COUNT(CASE WHEN name = 'conversation_resolved' THEN 1 END) as resolved_count,
AVG(CASE WHEN name = 'conversation_resolved' THEN value END) as avg_resolution_time,
AVG(CASE WHEN name = 'first_response' THEN value END) as avg_first_response_time,
AVG(CASE WHEN name = 'reply_time' THEN value END) as avg_reply_time
FROM "reporting_events"
WHERE
"reporting_events"."account_id" = <account_id> AND
"reporting_events"."created_at" >= '2025-09-14 18:30:00' AND
"reporting_events"."created_at" < '2025-10-14 18:29:59'
GROUP BY "reporting_events"."user_id";
```
### Why this works?
Here's why this optimization is faster based on PostgreSQL internals:
- Single Table Scan vs Multiple Scans: Earlier we did 4 sequential scans
(or 4 index scans) of the same data, with the same where clause, now in
a single scan all 4 `CASE` expressions are evaluated in a single pass.
- Shared Buffer Cache Efficiency: PostgreSQL's shared buffer cache
stores recently accessed pages, with this, pages are loaded once and
re-used for all aggregation, earlier with separate queries we were
forced to re-read all from the disk each time
- Reduced planning and network overhead (4 vs 1 query)
### How is it tested
1. The specs all pass without making any changes
2. Verified the reports side by side after generating from report seeder
#### How to test
Generate seed data using the following command
```bash
ACCOUNT_ID=1 ENABLE_ACCOUNT_SEEDING=true bundle exec rake db:seed:reports_data
```
Once done download the reports, checkout to this branch and download the
reports again and compare them
Shivam Mishra