Class 2: derived directions + conversation views for Slack, Life360, TikTok - #1647
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Each direction comes from data already in the evidence, validated against real test extractions: - Slack (ModelDatabase): CASE on ZCOREDATAUSER.ZISME via the join the query already performs. Validated: 61 msgs split 28 Sent (all from the ZISME user) / 33 Received. - Life360: CASE on ZCHATMEMBER.ZISLOGGEDINUSER via the existing sender join, plus ZTHREAD as Thread ID. Validated on two devices of the same CTF conversation: owner's phone shows Outgoing, counterpart's phone shows the same messages Incoming. (The existing Sent Status column is delivery state, not direction - it reads 'Sent' for incoming messages.) - TikTok: direction by comparing sender to the account id (already derived from the ChatFiles/<account>/ path), plus belongingConversationIdentifier as Conversation ID. Validated: 44 msgs split 25/19 across 17 conversations. New columns appended; existing column order unchanged. Conversation views wired for all three.
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Summary
Adds evidence-derived Direction columns and LAVA conversation views to three artifacts whose databases record the account owner. Every derivation was validated against real test extractions (11-image validation set) before implementation.
ZCOREDATAUSER.ZISME— join already presentZCHATMEMBER.ZISLOGGEDINUSER— join already presentZTHREAD→ Thread IDsender == account id(account already derived from theChatFiles/<account>/path)belongingConversationIdentifier→ Conversation IDNotes
Sent Statuscolumn is delivery state, not direction — it reads 'Sent' on incoming messages (verified in CTF data). It's retained as-is; the new Direction column is the direction truth.Testing
pylint 10.00/10 (3 files); byte-compile; PluginLoader 3/3 views registered; view column refs validated against data_headers; the exact new SQL executed read-only against the real copied databases from the validation runs with the splits shown above.