Files
periscope/backend/pinscopex/parsers.py
T
micheleandCursor 61f85f519b Default to DeepSeek V4.1 Flash, show API cost in USD, and re-analyze after replacing BOM and netlist.
V4.1 is natively multimodal so every stage uses deepseek-flash; pricing and the UI now surface dollars instead of empty credits. KiCad netlists and neighborhood fingerprints land in the same cut so a second run can keep the project and skip unchanged ICs.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-09-10 20:55:35 +02:00

299 lines
11 KiB
Python

"""Pure parsers for PADS-PCB netlists and KiCad BOM CSV files."""
from __future__ import annotations
import csv
import re
from pathlib import Path
from typing import Literal
NetlistFormat = Literal["pads", "edif", "kicad_xml", "kicad_sexp", "kicad_sch"]
def parse_netlist(
path: str | Path,
known_refs: set[str] | None = None,
) -> tuple[dict[str, str], dict[str, list[tuple[str, str]]]]:
"""Parse a PADS-PCB ASCII netlist (.asc).
PADS-PCB allows reference designators containing spaces (e.g. ``CV GND``,
``CAN BUS IN``, ``3.3V ACTIVE``). When ``known_refs`` is supplied (typically
from the BOM), tokens are greedily matched to the longest known designator
so multi-word refs parse correctly. Without ``known_refs`` the parser falls
back to single-word tokenisation.
Returns:
parts: {reference: footprint}
nets: {net_name: [(component_ref, pin_number), ...]}
"""
text = Path(path).read_text()
lines = text.splitlines()
parts: dict[str, str] = {}
nets: dict[str, list[tuple[str, str]]] = {}
section = None
current_net: str | None = None
for raw_line in lines:
line = raw_line.strip()
if not line:
continue
# Section markers. PADS-PCB headers may carry trailing labels
# (e.g. "*PART* ITEMS" or "*MISC* MISCELLANEOUS PARAMETERS"
# from EasyEDA Pro), so match the marker prefix rather than the whole
# line. Unknown markers (anything starred that we don't recognise) are
# treated as section terminators — without this, EasyEDA Pro's *MISC*
# ATTRIBUTE VALUES block leaks into the net section and "Datasheet"
# URLs / footprint strings get misparsed as pin connections.
if line.startswith("*"):
if line.startswith("*SIGNAL*"):
pass # sub-marker within *NET*; handled in the net branch
elif line.startswith("*PART*"):
section = "part"
current_net = None
continue
elif line.startswith("*NET*"):
section = "net"
current_net = None
continue
elif line.startswith("*END*"):
break
else:
# *PADS-PCB*, *REMARK*, *MISC*, or any unrecognised marker
section = None
current_net = None
continue
if section == "part":
tokens = line.split()
ref, footprint = _parse_part_tokens(tokens, known_refs)
if ref:
parts[ref] = footprint
elif section == "net":
if line.startswith("*SIGNAL*"):
current_net = line.split("*SIGNAL*", 1)[1].strip()
if current_net not in nets:
nets[current_net] = []
elif current_net is not None:
# Pin entries: "REF.PIN REF.PIN ..." (REF may contain spaces)
nets[current_net].extend(_parse_pin_tokens(line.split(), known_refs))
# Some PADS-PCB exports omit the *PART* section entirely and ship only
# connectivity. Synthesize parts from refs seen in *SIGNAL* blocks so
# downstream validation and graph-building still work; footprints stay
# empty (the BOM is the source of truth for footprints anyway).
if not parts and nets:
for pins in nets.values():
for ref, _pin in pins:
parts.setdefault(ref, "")
return parts, nets
def _parse_part_tokens(
tokens: list[str],
known_refs: set[str] | None,
) -> tuple[str | None, str]:
"""Split a *PART* line into (ref, footprint), respecting multi-word refs."""
if not tokens:
return None, ""
if known_refs:
# Greedy longest-prefix match against known refs
for n in range(min(len(tokens), 8), 0, -1):
candidate = " ".join(tokens[:n])
if candidate in known_refs:
return candidate, " ".join(tokens[n:])
# Fallback: single-word ref, rest is footprint
if len(tokens) >= 2:
return tokens[0], " ".join(tokens[1:])
return tokens[0], ""
def _parse_pin_tokens(
tokens: list[str],
known_refs: set[str] | None,
) -> list[tuple[str, str]]:
"""Parse a *SIGNAL* pin line into (ref, pin) pairs.
Tokens terminate on a ``.`` — everything before (back to the previous
consumed position) is the ref, possibly with internal spaces.
"""
pins: list[tuple[str, str]] = []
consumed = -1
for j, token in enumerate(tokens):
if j <= consumed or "." not in token:
continue
last_word, pin = token.rsplit(".", 1)
# Greedy longest match when known_refs is available
if known_refs:
matched_start: int | None = None
for start in range(consumed + 1, j + 1):
parts = tokens[start:j] + ([last_word] if last_word else [])
candidate = " ".join(parts)
if candidate and candidate in known_refs:
matched_start = start
break
if matched_start is not None:
ref = " ".join(
tokens[matched_start:j] + ([last_word] if last_word else [])
)
pins.append((ref, pin))
consumed = j
continue
# Fallback: single-word ref (original behaviour)
ref = last_word
pins.append((ref, pin))
consumed = j
return pins
def detect_netlist_format(content: bytes | str) -> NetlistFormat:
"""Sniff the first chunk of a netlist to decide the format.
EDIF starts with ``(edif``; KiCad XML with ``<export`` / ``<?xml``;
KiCad s-expr netlist with ``(export``; schematic with ``(kicad_sch``.
PADS-PCB ASCII (``*PADS-PCB*``) is the default when no marker is found.
"""
if isinstance(content, bytes):
text = content[:2048].decode("utf-8", errors="replace")
else:
text = content[:2048]
head = text.lstrip("\ufeff").lstrip()
low = head[:40].lower()
if low.startswith("(edif"):
return "edif"
if low.startswith("(kicad_sch"):
return "kicad_sch"
if low.startswith("(export"):
return "kicad_sexp"
if low.startswith("<?xml") or low.startswith("<export"):
return "kicad_xml"
return "pads"
def parse_netlist_any(
path: str | Path,
known_refs: set[str] | None = None,
*,
include_subdesigns: set[str] | None = None,
) -> tuple[dict[str, str], dict[str, list[tuple[str, str]]], NetlistFormat]:
"""Auto-detect the netlist format and parse.
Returns ``(parts, nets, format)``. The ``parts`` and ``nets`` shapes match
:func:`parse_netlist`; downstream code (graph build, validation) doesn't
need to know which parser ran. ``known_refs`` is only relevant for PADS —
EDIF designators are unambiguous tokens. ``include_subdesigns`` is only
relevant for EDIF — it filters which ``&NNNN``-prefixed instances and
their nets land in the output (PADS netlists have no sub-design concept).
"""
p = Path(path)
sample = p.read_bytes()[:2048]
fmt = detect_netlist_format(sample)
if fmt == "edif":
from backend.pinscopex.parsers_edif import parse_edif_netlist
parts, nets = parse_edif_netlist(p, include_subdesigns=include_subdesigns)
elif fmt.startswith("kicad"):
from backend.pinscopex.parsers_kicad import parse_kicad
parts, nets, _ = parse_kicad(p)
else:
parts, nets = parse_netlist(p, known_refs=known_refs)
return parts, nets, fmt
def validate_netlist(parts: dict, nets: dict) -> list[str]:
"""Sanity-check parsed netlist data. Returns a list of error strings (empty = valid)."""
errors: list[str] = []
if not parts:
errors.append(
"No components found — is this a PADS-PCB (.asc), EDIF (.edn), "
"or KiCad netlist / .kicad_sch?"
)
return errors # further checks are meaningless without parts
if not nets:
errors.append("No nets found — the connectivity section (*NET*) is missing or empty")
return errors
# At least some parts must appear in the net connections
refs_in_nets = {ref for pins in nets.values() for ref, _ in pins}
if not (set(parts) & refs_in_nets):
errors.append(
"No components are wired to any net — the connectivity section may be missing or malformed"
)
# Every real schematic has a ground net
gnd_names = {"GND", "AGND", "DGND", "PGND", "VSS", "0V"}
has_gnd = any(
n.upper() in gnd_names or n.upper().endswith("GND") or n.upper().startswith("GND")
for n in nets
)
if not has_gnd:
errors.append(
"No ground net found (expected GND, AGND, DGND, VSS, etc.) — "
"this may not be a complete schematic netlist"
)
return errors
def parse_bom(
path: str | Path,
*,
reference_col: str = "Reference",
mpn_col: str = "Manufacturer Part Number",
) -> dict[str, dict]:
"""Parse a KiCad BOM CSV with grouped references.
Args:
path: Path to the BOM CSV file.
reference_col: Column name for reference designators.
mpn_col: Column name for manufacturer part numbers.
Returns:
{reference: {"value": str, "footprint": str, "mpn": str|None, "lcsc": str|None}}
One entry per individual reference (groups are expanded).
"""
result: dict[str, dict] = {}
text = Path(path).read_text()
reader = csv.DictReader(text.splitlines())
for row in reader:
refs_raw = row.get(reference_col, "")
value = row.get("Value", "") or row.get("Comment", "")
footprint = row.get("Footprint", "")
mpn = (row.get(mpn_col, "") or "").strip() or None
lcsc = row.get("LCSC", "") or None
datasheet_url = (row.get("Datasheet", "") or "").strip() or None
# Expand grouped references: "C1,C2,C5" -> ["C1", "C2", "C5"]
refs = [r.strip() for r in refs_raw.split(",") if r.strip()]
# KiCad exports often leave Manufacturer Part Number empty and put
# the orderable code in Value (or PNM). Without this, U* never
# enter ic_mpns and review reports "no datasheet PDF".
if not mpn:
mpn = (row.get("PNM", "") or "").strip() or None
if not mpn and any(re.match(r"^U\d", r, re.I) for r in refs):
mpn = (value or "").strip() or None
for ref in refs:
result[ref] = {
"value": value,
"footprint": footprint,
"mpn": mpn,
"lcsc": lcsc,
"datasheet_url": datasheet_url,
}
return result