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Llm add llm events to insights without timeseries #29

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Llm add llm events to insights without timeseries #29

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e3e114c
add dialogs to insights without timeseries
AndrMoura Jun 14, 2024
44af315
refactor date_from if
AndrMoura Jun 17, 2024
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13 changes: 11 additions & 2 deletions posthog/api/person.py
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Original file line number Diff line number Diff line change
Expand Up @@ -714,10 +714,20 @@ def extend_actors_with_llm_events(self, filter, serialized_actors, request):
distinct_ids = [di for sa in serialized_actors for di in sa["distinct_ids"]]
ev = json.loads(req_dict["events"])[0].get("name")
req_dict["event"] = ev

if "date_from" in req_dict:
req_dict["after"] = req_dict["date_from"]
if req_dict["date_from"] == "all":
# For insights that do not contain timeseries (piechart, number)
# Insights with no timeseries add 'date_from = all' and no 'date_to' is sent
# we set a date that grabs all events before "now"s
assert "date_to" not in req_dict, "date_to found when 'date_from = all'."
req_dict["before"] = datetime.today().strftime("%Y-%m-%d %H:%M:%S.%f")
else: # -180d, -7d, other timestamps
req_dict["after"] = req_dict["date_from"]

if "date_to" in req_dict:
req_dict["before"] = req_dict["date_to"]

req_dict["distinct_ids"] = distinct_ids

query_result = query_events_list(
Expand Down Expand Up @@ -802,7 +812,6 @@ def trends(self, request: request.Request, *args: Any, **kwargs: Any) -> Respons

return self._respond_with_cached_results(self.calculate_trends_persons(request))

@cached_by_filters
def calculate_trends_persons(
self, request: request.Request
) -> Dict[str, Tuple[List, Optional[str], Optional[str], int]]:
Expand Down
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