Files
ten31-database/backend/matrix_intake/spark.py
T
Keysat 7ad0ee7624 Add Matrix intake bot (M1+M2): typed message → approved fundraising-grid write
New backend/matrix_intake/ runs as its own process (matrix-nio isolated from the
stdlib CRM): local-Qwen parse via Spark Control → in-thread human approval
(yes/edit/no) → write through the CRM's own log-communication endpoint, tagged
source=matrix_intake. Adds read-only GET /api/intake/match (returns grid row id,
no-duplicate contract); threads provenance through handle_log_fundraising_communication.
Reviewer-passed: pop-before-commit closes a double-approve race; edit-grammar fix.
Text-only v1; business-card photo (M3) deferred (no Spark vision model).
26/26 tests green; live Matrix smoke pending deploy.
2026-06-17 07:51:27 -05:00

22 lines
1008 B
Python

"""Thin reuse of the in-repo local-Qwen client (backend/ingest/llm.py) via Spark Control.
We import the ingest client rather than re-implementing the HTTP call so the intake bot
speaks the exact same Spark contract (model, /v1/chat/completions, TLS verify, .env load).
The intake message is real LP substance, but it goes ONLY to the local Qwen on Ten31 infra
— never Claude — so no scrub boundary applies (same basis as the daily digest). Never call a
Spark directly; everything goes through SPARK_CONTROL_URL.
"""
import os
import sys
_INGEST = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), "ingest")
if _INGEST not in sys.path:
sys.path.insert(0, _INGEST)
import llm # noqa: E402 (backend/ingest/llm.py — chat / chat_json over Spark Control)
def parse_json(prompt, system=None, max_tokens=400):
"""Send to local Qwen (temp 0, thinking off) and parse the first JSON object, or None."""
return llm.chat_json(prompt, system=system, max_tokens=max_tokens)