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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/zte/isis_adjacency.py
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@ -13,16 +13,19 @@ _ISIS_ROW_RE = re.compile(
)
_PROCESS_RE = re.compile(r"(?i)^\s*Process\s+ID\s*:\s*(\d+)\s*$")
RULE_KEYS: tuple[str, ...] = ()
def normalize_isis_adjacency(
*,
raw_text: str,
fsm_tables=None,
vendor: str = "",
device_type: str = "",
command: str = "",
params: dict[str, str] | None = None,
) -> list[dict[str, Any]]:
_ = (vendor, device_type, command, params)
_ = (vendor, device_type, command, params, fsm_tables)
out: list[dict[str, Any]] = []
process_id = ""
for raw in str(raw_text or "").splitlines():
@ -54,3 +57,5 @@ def normalize_isis_adjacency(
}
)
return out
normalize_isis_adjacency.RULE_KEYS = RULE_KEYS