home / jan-2025

snapshot_comments

2 rows where snapshot_pk = 97

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: comment_timestamp (date)

comment_pk ▼ snapshot_pk ordinal complaint_id mobile_number comment_timestamp status_text posted_by remarks raw_comment_json
161 97 97 1 101255052520 7995009114 2025-01-28T06:09:40Z Attended By Officer Divya Jyothi Attended sir {"id": "101255052520", "mobile_number": "7995009114", "posted_by": "Divya Jyothi", "remarks": "Attended sir", "status": "Attended By Officer", "time_stamp": "28-JAN-2025 11:39:40"}
162 97 97 2 101255052520 9440364273 2025-01-23T14:30:32Z Open Parvathi It is nearly a month since complaint posted. But no action initiated. Are you officers on long leave. Wake up 😝 {"id": "101255052520", "mobile_number": "9440364273", "posted_by": "Parvathi", "remarks": "It is nearly a month since complaint posted. But no action initiated. Are you officers on long leave. Wake up 😝", "status": "Open", "time_stamp": "23-JAN-2025 20:00:32"}

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE snapshot_comments (
    comment_pk INTEGER PRIMARY KEY,
    snapshot_pk INTEGER NOT NULL REFERENCES complaint_snapshots(snapshot_pk) ON DELETE CASCADE,
    ordinal INTEGER NOT NULL,
    complaint_id TEXT NOT NULL,
    mobile_number TEXT NOT NULL,
    comment_timestamp TEXT NOT NULL,
    status_text TEXT NOT NULL,
    posted_by TEXT NOT NULL,
    remarks TEXT NOT NULL,
    raw_comment_json TEXT NOT NULL,
    UNIQUE(snapshot_pk, ordinal)
);
Powered by Datasette · Queries took 41.101ms