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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/arp.py
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@ -7,6 +7,8 @@ from typing import Any
_ARP_AGE_TIME_RE = re.compile(r"^\d{1,2}:\d{2}:\d{2}$")
RULE_KEYS: tuple[str, ...] = ()
def is_valid_arp_age(age: str) -> bool:
"""True when Age looks like a dynamic timer (HH:MM:SS), not static flags like H."""
@ -16,12 +18,13 @@ def is_valid_arp_age(age: str) -> bool:
def normalize_arp(
*,
raw_text: str,
fsm_tables=None,
vendor: str = "",
device_type: str = "",
command: str = "",
params: dict[str, str] | None = None,
) -> list[dict[str, Any]]:
_ = (vendor, device_type, command, params)
_ = (vendor, device_type, command, params, fsm_tables)
out: list[dict[str, Any]] = []
seen: set[tuple[str, str]] = set()
ip_re = re.compile(r"^\d{1,3}(?:\.\d{1,3}){3}$")
@ -61,3 +64,5 @@ def normalize_arp(
}
)
return out
normalize_arp.RULE_KEYS = RULE_KEYS