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Add TextFSM rule tables as dual input to biz-state parsers.

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Collectors apply RULE_KEYS (or index stems) into fsm_tables before normalize; parsers prefer FSM or hand-parse.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
oliver 2026-09-17 22:18:21 +08:00
parent 24a1a853af
commit 02b8a7073b
25 changed files with 714 additions and 69 deletions
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7
netx_api/biz_state/parsers/common/lldp_neighbors.py
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@ -6,10 +6,13 @@ from typing import Any
from ....lldp_shared import NeighborHit, parse_neighbor_output
RULE_KEYS: tuple[str, ...] = ()
def normalize_lldp_neighbors(
*,
raw_text: str,
fsm_tables=None,
vendor: str = "",
device_type: str = "",
command: str = "",
@ -21,7 +24,7 @@ def normalize_lldp_neighbors(
device_type=device_type,
command=command,
)
_ = params
_ = (params, fsm_tables)
rows: list[dict[str, Any]] = []
for h in hits:
rows.append(
@ -34,3 +37,5 @@ def normalize_lldp_neighbors(
}
)
return rows
normalize_lldp_neighbors.RULE_KEYS = RULE_KEYS