File size: 8,375 Bytes
65ecef2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 | #!/usr/bin/env python3
from __future__ import annotations
import csv
import re
from pathlib import Path
from typing import Any, Dict, List
REPO_ROOT = Path(__file__).resolve().parents[2]
LIFECYCLE_CSV = REPO_ROOT / "routers_eos_eol_by_sku.csv"
FACT_CSVS = [
REPO_ROOT / "feb2026routers.csv",
REPO_ROOT / "replacement_devices_missing_from_dec2025routers.csv",
REPO_ROOT / "backend" / "app" / "knowledgebase" / "data" / "normalized" / "router_pricing_catalog_normalized.csv",
]
OUT_CSV = REPO_ROOT / "docs" / "reports" / "router_missing_fields_audit.csv"
REQ_FIELDS = [
"ruggedization",
"modem_type",
"device_type",
"poe",
"wifi",
"wan_ports",
"lan_ports",
"ethernet_ports",
"serial_ports",
]
def _norm(v: Any) -> str:
return re.sub(r"\s+", " ", str(v or "").strip())
def _compact(v: Any) -> str:
return re.sub(r"[^A-Z0-9]", "", _norm(v).upper())
def _header_get(row: Dict[str, Any], *names: str) -> str:
lut = {str(k).strip().lower(): k for k in row.keys()}
for n in names:
k = lut.get(n.strip().lower())
if k:
return _norm(row.get(k, ""))
return ""
def _extract_models(text: str) -> List[str]:
out: List[str] = []
seen = set()
for m in re.finditer(r"\b[A-Za-z]{1,8}[- ]?\d{2,4}[A-Za-z0-9\-]*\b", text):
tok = _compact(m.group(0))
if not tok or tok.isdigit() or len(tok) < 4:
continue
if (not any(c.isalpha() for c in tok)) or (not any(c.isdigit() for c in tok)):
continue
if tok not in seen:
seen.add(tok)
out.append(tok)
return out
def _infer_poe(blob: str) -> str:
low = blob.lower()
if "poe" in low:
if "no poe" in low or "without poe" in low:
return "no"
return "yes"
return ""
def _load_fact_index() -> Dict[str, Dict[str, str]]:
idx: Dict[str, Dict[str, str]] = {}
for path in FACT_CSVS:
if not path.exists():
continue
with path.open("r", encoding="utf-8-sig", newline="") as f:
reader = csv.DictReader(f)
for ridx, row in enumerate(reader, start=2):
model = _header_get(row, "Model", "SKU", "Title", "Device", "router", "model_key")
model_cands = _extract_models(model)
if not model_cands:
model_cands = _extract_models(_header_get(row, "Title", "Product description", "description", "notes", "sku"))
if not model_cands:
continue
mk = model_cands[0]
record = idx.setdefault(
mk,
{
"model_key": mk,
"display_model": _header_get(row, "Title", "Model", "SKU", "Device") or mk,
"sources": "",
"ruggedization": "",
"modem_type": "",
"device_type": "",
"poe": "",
"wifi": "",
"wan_ports": "",
"lan_ports": "",
"ethernet_ports": "",
"serial_ports": "",
},
)
source_name = path.name
if source_name not in record["sources"]:
record["sources"] = (record["sources"] + "; " + source_name).strip("; ")
raw_blob = " ".join(
[
_header_get(row, "Product description", "Description", "notes", "Special notes", "short description", "Long Description"),
_header_get(row, "WAN ports and speed", "WAN ports", "wan_ports", "ethernet_ports"),
_header_get(row, "LAN ports and speed", "LAN ports", "lan_ports", "ethernet_ports"),
]
)
field_map = {
"ruggedization": _header_get(row, "Ruggedization", "ruggedization"),
"modem_type": _header_get(row, "Modem Type", "modem_type", "modem", "Cellular Networks"),
"device_type": _header_get(row, "Type", "Device Type", "device_type"),
"poe": _header_get(row, "poe", "PoE") or _infer_poe(raw_blob),
"wifi": _header_get(row, "WiFi type", "WiFi", "wifi", "wireless"),
"wan_ports": _header_get(row, "WAN ports and speed", "WAN ports", "wan_ports"),
"lan_ports": _header_get(row, "LAN ports and speed", "LAN ports", "lan_ports"),
"ethernet_ports": _header_get(row, "Ethernet Ports", "ethernet_ports", "WAN/LAN", "WAN ports and speed"),
"serial_ports": _header_get(row, "Serial port (yes/no)", "Serial Ports", "serial", "serial_ports"),
}
for k, val in field_map.items():
if (not record[k]) and val:
record[k] = val
# fill from free-text cues
if (not record["device_type"]) and raw_blob:
low = raw_blob.lower()
if "adapter" in low:
record["device_type"] = "Adapter"
elif any(t in low for t in ("router", "gateway", "fwa", "cpe")):
record["device_type"] = "Router"
if (not record["serial_ports"]) and ("serial" in raw_blob.lower()):
record["serial_ports"] = "yes"
return idx
def _load_lifecycle_index() -> Dict[str, Dict[str, str]]:
out: Dict[str, Dict[str, str]] = {}
if not LIFECYCLE_CSV.exists():
return out
with LIFECYCLE_CSV.open("r", encoding="utf-8-sig", newline="") as f:
r = csv.DictReader(f)
for row in r:
sku = _norm(row.get("SKU", ""))
if not sku:
continue
key = _compact(sku)
if not key:
continue
out[key] = {
"sku": sku,
"manufacturer": _norm(row.get("manufacturer", "")),
"tech": _norm(row.get("Tech", "")),
"eos": _norm(row.get("end_of_sale", "")),
"eol": _norm(row.get("end_of_life", "")),
}
return out
def main() -> None:
facts = _load_fact_index()
life = _load_lifecycle_index()
keys = set(facts.keys()) | set(life.keys())
OUT_CSV.parent.mkdir(parents=True, exist_ok=True)
fields = [
"model_key",
"display_model",
"manufacturer",
"tech",
"eos",
"eol",
"ruggedization",
"modem_type",
"device_type",
"poe",
"wifi",
"wan_ports",
"lan_ports",
"ethernet_ports",
"serial_ports",
"missing_fields",
"source_docs",
]
rows_out: List[Dict[str, str]] = []
for k in sorted(keys):
f = facts.get(k, {})
l = life.get(k, {})
record = {
"model_key": k,
"display_model": f.get("display_model", "") or l.get("sku", "") or k,
"manufacturer": l.get("manufacturer", ""),
"tech": l.get("tech", ""),
"eos": l.get("eos", ""),
"eol": l.get("eol", ""),
"ruggedization": f.get("ruggedization", ""),
"modem_type": f.get("modem_type", ""),
"device_type": f.get("device_type", ""),
"poe": f.get("poe", ""),
"wifi": f.get("wifi", ""),
"wan_ports": f.get("wan_ports", ""),
"lan_ports": f.get("lan_ports", ""),
"ethernet_ports": f.get("ethernet_ports", ""),
"serial_ports": f.get("serial_ports", ""),
"source_docs": f.get("sources", "") or ("routers_eos_eol_by_sku.csv" if l else ""),
}
missing = [fld for fld in REQ_FIELDS if not _norm(record.get(fld, ""))]
if missing:
record["missing_fields"] = ", ".join(missing)
rows_out.append(record)
with OUT_CSV.open("w", encoding="utf-8", newline="") as f:
w = csv.DictWriter(f, fieldnames=fields)
w.writeheader()
for row in rows_out:
w.writerow(row)
print(f"Wrote {OUT_CSV} with {len(rows_out)} rows needing enrichment")
if __name__ == "__main__":
main()
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