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fix: event classifier now strips markdown fences and repairs JSON

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_parse_classification_response receives raw model output (with thinking
tags, markdown fences, etc.) but was calling json.loads directly.
Now uses _strip_markdown_fences + _repair_json from the client module
before parsing, matching what _call_ollama does for extractions.
This commit is contained in:
Celes Renata
2026-04-17 16:35:13 +00:00
parent 759d868e3b
commit 1394e6168b
1 changed files with 6 additions and 1 deletions
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services/extractor/event_classifier.py
+6 -1
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@@ -284,9 +284,14 @@ def _parse_classification_response(
) -> GlobalEvent: ) -> GlobalEvent:
"""Parse raw Ollama JSON output into a GlobalEvent. """Parse raw Ollama JSON output into a GlobalEvent.
Strips markdown fences and repairs malformed JSON before parsing.
Normalizes enum values and clamps numeric fields. Normalizes enum values and clamps numeric fields.
""" """
data = json.loads(raw_json) from services.extractor.client import _strip_markdown_fences, _repair_json
cleaned = _strip_markdown_fences(raw_json)
cleaned = _repair_json(cleaned)
data = json.loads(cleaned)
confidence = data.get("confidence", 0.5) confidence = data.get("confidence", 0.5)
if isinstance(confidence, (int, float)): if isinstance(confidence, (int, float)):