Implement deeper analysis of people and access to the underlying data in the database

This commit is contained in:
2026-02-15 18:02:52 +00:00
parent a94bbff655
commit e7aac36ef9
4 changed files with 398 additions and 96 deletions

View File

@@ -338,7 +338,7 @@ INSIGHT_METRICS = {
"last_event": {
"title": "Last Event",
"group": "timeline",
"history_field": "source_event_ts",
"history_field": None,
"calculation": "Unix ms timestamp of the newest message in this workspace.",
"psychology": (
"Long inactivity windows can indicate pause, repair distance, or "
@@ -493,14 +493,6 @@ INSIGHT_GRAPH_SPECS = [
"y_min": 0,
"y_max": 100,
},
{
"slug": "last_event",
"title": "Last Event Timestamp",
"field": "source_event_ts",
"group": "timeline",
"y_min": None,
"y_max": None,
},
]
@@ -708,6 +700,36 @@ def _format_metric_value(conversation, metric_slug, latest_snapshot=None):
def _metric_psychological_read(metric_slug, conversation):
if metric_slug == "stability_state":
state = conversation.stability_state
if state == WorkspaceConversation.StabilityState.CALIBRATING:
return (
"Calibrating means the system does not yet have enough longitudinal "
"signal to classify friction reliably. Prioritize collecting a few "
"more days of normal interaction before drawing conclusions."
)
if state == WorkspaceConversation.StabilityState.STABLE:
return (
"Stable indicates low-friction reciprocity and predictable cadence in "
"the sampled window. Keep routines consistent and focus on maintenance "
"habits rather than heavy corrective interventions."
)
if state == WorkspaceConversation.StabilityState.WATCH:
return (
"Watch indicates meaningful strain without full collapse. This often "
"matches early misunderstanding cycles: repair is still easy if you "
"slow pace, validate first, and reduce escalation triggers."
)
if state == WorkspaceConversation.StabilityState.FRAGILE:
return (
"Fragile indicates high volatility or directional imbalance in recent "
"interaction. Use short, clear, safety-first communication and avoid "
"high-load conversations until cadence normalizes."
)
return (
"State is an operational risk band, not a diagnosis. Read it alongside "
"confidence and recent events."
)
if metric_slug == "stability_score":
score = conversation.stability_score
if score is None:
@@ -760,6 +782,12 @@ def _history_points(conversation, field_name):
return points
def _metric_supports_history(metric_slug, metric_spec):
if not metric_spec.get("history_field"):
return False
return any(graph["slug"] == metric_slug for graph in INSIGHT_GRAPH_SPECS)
def _all_graph_payload(conversation):
graphs = []
for spec in INSIGHT_GRAPH_SPECS:
@@ -2902,8 +2930,9 @@ class AIWorkspaceInsightDetail(LoginRequiredMixin, View):
latest_snapshot = conversation.metric_snapshots.first()
value = _format_metric_value(conversation, metric, latest_snapshot)
group = INSIGHT_GROUPS[spec["group"]]
graph_applicable = _metric_supports_history(metric, spec)
points = []
if spec["history_field"]:
if graph_applicable:
points = _history_points(conversation, spec["history_field"])
context = {
@@ -2915,6 +2944,7 @@ class AIWorkspaceInsightDetail(LoginRequiredMixin, View):
"metric_psychology_hint": _metric_psychological_read(metric, conversation),
"metric_group": group,
"graph_points": points,
"graph_applicable": graph_applicable,
"graphs_url": reverse(
"ai_workspace_insight_graphs",
kwargs={"type": "page", "person_id": person.id},