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Dev (#2962)

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* feat(chalice): autocomplete return top 10 with stats

* fix(chalice): fixed autocomplete top 10 meta-filters

* feat(chalice): new user journey: optimized post-processing + fixed DROP value
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Kraiem Taha Yassine 2025-01-21 15:41:18 +01:00 • committed by GitHub
parent c26c235f2f
commit 6559fe27ee
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1 changed files with 4 additions and 6 deletions
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10
api/chalicelib/core/metrics/product_analytics.py
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@ -12,22 +12,18 @@ logger = logging.getLogger(__name__)
def __transform_journey(rows, reverse_path=False):
total_100p = 0
number_of_step1 = 0
for r in rows:
if r["event_number_in_session"] > 1:
break
number_of_step1 += 1
total_100p += r["sessions_count"]
for i in range(len(rows)):
rows[i]["value"] = rows[i]["sessions_count"] * 100 / total_100p
nodes = []
nodes_values = []
links = []
drops = []
max_depth = 0
for r in rows:
r["value"] = r["sessions_count"] * 100 / total_100p
source = f"{r['event_number_in_session'] - 1}_{r['event_type']}_{r['e_value']}"
if source not in nodes:
nodes.append(source)
@ -79,7 +75,9 @@ def __transform_journey(rows, reverse_path=False):
"eventType": "DROP"})
tg_idx = len(nodes) - 1
link = {"eventType": "DROP", "sessionsCount": drops[i]["sessions_count"], "value": None}
link = {"eventType": "DROP",
"sessionsCount": drops[i]["sessions_count"],
"value": drops[i]["sessions_count"] * 100 / total_100p}
if not reverse_path:
link["source"] = sr_idx
link["target"] = tg_idx