Rebrand Pinscope to Periscope across product and codebase.
Rename the core package to periscopex, update UI/docs/Docker/deploy defaults to periscope.michelebigi.it, and keep legacy version/storage key aliases so existing projects keep working. Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
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"""Graph-query tools for direct datasheet review.
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Tools let the reviewer trace connections beyond the pre-built
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component context. The submit_review tool collects all findings.
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"""
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from __future__ import annotations
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import logging
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import re
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import tempfile
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from dataclasses import dataclass, field
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from pathlib import Path
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from typing import Any
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from backend.periscopex.models import (
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ComponentConstraints,
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DesignGraph,
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)
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from backend.periscopex.utils import safe_mpn
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log = logging.getLogger(__name__)
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# ---------------------------------------------------------------------------
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# Helpers
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# ---------------------------------------------------------------------------
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def _pin_sort_key(pin: str) -> tuple:
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m = re.match(r"^(\d+)", pin)
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if m:
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return (0, int(m.group(1)), pin)
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return (1, 0, pin)
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_THERMAL_PAD_NAME_RE = re.compile(
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r"\b(e[\s\-]?pad|epad|ep|dap|thermal\s*pad|exposed\s*(?:pad|paddle)|die[\s\-]?(?:attach\s*)?pad)\b",
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re.IGNORECASE,
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)
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def _reviewer_voltage_str(net) -> str:
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"""Format a net's voltage for reviewer tool output."""
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if net is None or net.voltage is None:
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return ""
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return f", {net.voltage}V"
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def _is_thermal_pad_pin(pin) -> bool:
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"""Heuristic: does a pintable entry describe the exposed/thermal pad?
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Users commonly assign the EP a custom pin number in their schematic
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symbol (often pin_count+1) that doesn't match the datasheet pintable's
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number for the same pad. Detecting EP pintable entries lets the
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reviewer match them to orphan schematic pins instead of reporting them
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as unconnected.
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"""
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for field in (getattr(pin, "name", None), getattr(pin, "description", None)):
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if field and _THERMAL_PAD_NAME_RE.search(str(field)):
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return True
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number = str(getattr(pin, "number", "")).strip()
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if number and not number.isdigit() and _THERMAL_PAD_NAME_RE.search(number):
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return True
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return False
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def _format_specs(specs) -> str:
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"""Format component specs as a compact string."""
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if not specs:
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return ""
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d = specs.model_dump(exclude_none=True, exclude={"specs_type"})
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if not d:
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return ""
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parts = []
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for k, v in d.items():
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parts.append(f"{k}={v}")
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return ", ".join(parts)
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# Type alias for constraints lookup
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ConstraintsMap = dict[str, ComponentConstraints] # MPN -> constraints
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# ---------------------------------------------------------------------------
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# Excerpt tool — per-review state, topic regexes, page selection
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# ---------------------------------------------------------------------------
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# Each topic maps to a narrow keyword regex used to pick relevant pages from
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# a neighbor IC's datasheet. Narrower than _REVIEW_KEYWORDS so an excerpt
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# fetch returns a focused slice (~5-10 pages) rather than 30+.
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EXCERPT_TOPICS: dict[str, re.Pattern] = {
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"absolute_max": re.compile(
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r"absolute\s+maximum|maximum\s+ratings?|stress\s+rating",
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re.IGNORECASE,
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),
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"recommended_operating": re.compile(
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r"recommended\s+operating|operating\s+conditions?|operating\s+range",
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re.IGNORECASE,
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),
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"electrical_characteristics": re.compile(
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r"electrical\s+characteristics?|DC\s+characteristics?|AC\s+characteristics?"
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r"|V[IO][HL]\s*\(|input\s+(high|low)\s+voltage|output\s+(high|low)\s+voltage",
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re.IGNORECASE,
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),
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"pin_voltage_levels": re.compile(
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r"5[\s\-]?V[\s\-]?tolerant|5V[\s\-]?tolerance|voltage\s+tolerance"
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r"|input\s+voltage\s+range|pin\s+voltage|I/O\s+voltage"
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r"|V[IO][HL]\b|VIO\b|VDDIO\b|tolerant\s+input",
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re.IGNORECASE,
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),
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"power_supply": re.compile(
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r"power\s+supply|supply\s+voltage|VDD|VCC|VBAT|supply\s+current"
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r"|quiescent\s+current",
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re.IGNORECASE,
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),
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"thermal": re.compile(
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r"thermal\s+(resistance|shutdown|pad|characteristics)|junction\s+temperature"
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r"|theta[\s\-]?J[AC]|θJ[AC]",
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re.IGNORECASE,
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),
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"application_circuit": re.compile(
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r"application\s+(circuit|schematic|information|note)"
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r"|typical\s+application|reference\s+design|recommended\s+circuit",
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re.IGNORECASE,
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),
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}
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_EXCERPT_MAX_PAGES_PER_FETCH = 10 # cap per single excerpt call
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@dataclass
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class ExcerptState:
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"""Per-review state threaded through ``execute_tool`` so the excerpt tool
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can enforce neighbor-only access, run a fetch/page budget, and reuse
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pypdf trim work across ICs in the same validation run.
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Created in ``review_ic_async``; carries the cross-IC ``cache`` from the
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caller (``validate_design_async``).
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"""
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current_ic: str
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connected_designators: set[str]
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graph: DesignGraph
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pdf_dir: Path
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storage: Any | None = None
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# Cross-IC trimmed-PDF cache keyed by (designator, topic, ds_md5)
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# -> (trimmed_pdf_path, [original_page_numbers]). Lives for the duration
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# of one validate_design_async.
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cache: dict[tuple[str, str, str], tuple[str, list[int]]] = field(
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default_factory=dict
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)
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# Per-review budget counters. ``page_budget`` is the global ceiling that
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# bounds total fan-out on a hub IC; ``per_neighbor_page_budget`` is a
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# sub-budget so that verifying ONE interface (which needs ~2-3 topic
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# fetches from a single neighbor — e.g. pin_voltage_levels + absolute_max)
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# is never blocked by pages already spent on a *different* neighbor. This
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# is the fix for the U2-001 / U3-001 false positives, where a single
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# 25-page global budget got exhausted before the abs-max table could be
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# read, forcing the reviewer to guess.
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fetch_count: int = 0
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page_count: int = 0
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fetch_budget: int = 8
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page_budget: int = 60
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per_neighbor_page_budget: int = 30
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pages_per_neighbor: dict[str, int] = field(default_factory=dict)
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# ---------------------------------------------------------------------------
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# Tool implementations
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# ---------------------------------------------------------------------------
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def find_connected_components(
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graph: DesignGraph,
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constraints_map: ConstraintsMap,
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designator: str,
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pin: str,
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designator_filter: str | None = None,
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) -> str:
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"""Find all components on the net at designator.pin, with full specs."""
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comp = graph.components.get(designator)
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if not comp:
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return f"Component '{designator}' not found."
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net_name = comp.pins.get(str(pin))
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if not net_name:
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return f"Pin {pin} on {designator} is not connected in the netlist."
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net = graph.nets[net_name]
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voltage_str = _reviewer_voltage_str(net)
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lines = [f"Net: {net_name} ({net.net_type.value}{voltage_str})"]
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count = 0
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for pc in net.pins:
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if pc.component_ref == designator:
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continue
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if designator_filter and not pc.component_ref.upper().startswith(designator_filter.upper()):
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continue
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neighbor = graph.components.get(pc.component_ref)
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if not neighbor:
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continue
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count += 1
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# Component header
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mpn_str = f", MPN={neighbor.mpn}" if neighbor.mpn else ""
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sub_str = f", {neighbor.component_subtype}" if neighbor.component_subtype else ""
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specs_str = _format_specs(neighbor.specs)
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if specs_str:
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specs_str = f" ({specs_str})"
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lines.append(
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f" {neighbor.reference}: {neighbor.value}{mpn_str}, "
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f"{neighbor.component_type.value}{sub_str}{specs_str}"
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)
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# Pin map
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pin_strs = []
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for pn, pnet in sorted(neighbor.pins.items(), key=lambda x: _pin_sort_key(x[0])):
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pin_strs.append(f"{pn}->{pnet}")
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lines.append(f" pins: {', '.join(pin_strs)}")
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if count == 0:
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filter_note = f" matching '{designator_filter}*'" if designator_filter else ""
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lines.append(f" (no components{filter_note} on this net)")
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return "\n".join(lines)
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def get_net_for_pin(
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graph: DesignGraph,
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constraints_map: ConstraintsMap,
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designator: str,
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pin: str,
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) -> str:
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"""Get net info for a specific pin — lightweight, no component listing."""
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comp = graph.components.get(designator)
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if not comp:
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return f"Component '{designator}' not found."
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net_name = comp.pins.get(str(pin))
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if not net_name:
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return f"Pin {pin} on {designator} is not connected in the netlist."
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net = graph.nets[net_name]
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voltage_str = _reviewer_voltage_str(net)
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# Get pin name from constraints
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pin_name = ""
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constraints = constraints_map.get(comp.mpn or "")
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if constraints:
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p = constraints.pin_by_number(pin)
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if p:
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pin_name = f" ({p.name})"
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return f"Pin {pin}{pin_name} on {designator} -> {net_name} [{net.net_type.value}{voltage_str}]"
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def shortest_path(
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graph: DesignGraph,
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constraints_map: ConstraintsMap,
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designator_a: str,
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pin_a: str,
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designator_b: str,
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pin_b: str,
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*,
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max_hops: int = 12,
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) -> str:
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"""BFS through the bipartite graph from A.pin to B.pin.
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Hops alternate component→net→component. Returns the hop list or a
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clear miss message. Caps depth so the reviewer cannot explode memory
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on dense power nets.
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"""
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a = graph.components.get(designator_a)
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b = graph.components.get(designator_b)
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if not a:
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return f"Component '{designator_a}' not found."
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if not b:
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return f"Component '{designator_b}' not found."
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net_a = a.pins.get(str(pin_a))
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net_b = b.pins.get(str(pin_b))
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if not net_a:
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return f"Pin {pin_a} on {designator_a} is not connected in the netlist."
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if not net_b:
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return f"Pin {pin_b} on {designator_b} is not connected in the netlist."
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if designator_a == designator_b and str(pin_a) == str(pin_b):
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return f"Same endpoint: {designator_a}.{pin_a} on {net_a}."
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if net_a == net_b:
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return (
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f"Direct (same net): {designator_a}.{pin_a} —[{net_a}]— "
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f"{designator_b}.{pin_b}"
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)
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# BFS on component nodes; edges are nets shared between components.
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from collections import deque
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start = designator_a
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goal = designator_b
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queue: deque[str] = deque([start])
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# prev[ref] = (previous_ref, via_net)
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prev: dict[str, tuple[str, str] | None] = {start: None}
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hops = 0
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found = False
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while queue and hops < max_hops:
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hops += 1
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for _ in range(len(queue)):
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cur = queue.popleft()
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for net_name, others in graph.neighbors(cur).items():
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for other in others:
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if other in prev:
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continue
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prev[other] = (cur, net_name)
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if other == goal:
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found = True
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queue.clear()
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break
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queue.append(other)
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if found:
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break
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if found:
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break
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if not found or goal not in prev:
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return (
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f"No path within {max_hops} hops from "
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f"{designator_a}.{pin_a} ({net_a}) to "
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f"{designator_b}.{pin_b} ({net_b})."
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)
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# Reconstruct component chain, then decorate endpoints with pins.
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chain_refs: list[str] = []
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via_nets: list[str] = []
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node = goal
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while node != start:
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chain_refs.append(node)
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parent, via = prev[node] # type: ignore[misc]
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via_nets.append(via)
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node = parent
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chain_refs.append(start)
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chain_refs.reverse()
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via_nets.reverse()
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parts: list[str] = [f"{designator_a}.{pin_a}"]
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for i, via in enumerate(via_nets):
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nxt = chain_refs[i + 1]
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if nxt == designator_b:
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parts.append(f"—[{via}]— {designator_b}.{pin_b}")
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else:
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parts.append(f"—[{via}]— {nxt}")
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return f"Path ({len(via_nets)} hop(s)): " + " ".join(parts)
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def get_pintable(
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graph: DesignGraph,
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constraints_map: ConstraintsMap,
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designator: str,
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) -> str:
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"""Get full pintable with connection status."""
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comp = graph.components.get(designator)
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if not comp:
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return f"Component '{designator}' not found."
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constraints = constraints_map.get(comp.mpn or "")
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if not constraints:
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# Fall back to just showing netlist pins
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lines = [f"Pintable for {designator} ({comp.mpn or comp.value}) — no extracted pintable:"]
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for pn, pnet in sorted(comp.pins.items(), key=lambda x: _pin_sort_key(x[0])):
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net = graph.nets.get(pnet)
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ntype = f" [{net.net_type.value}]" if net else ""
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lines.append(f" Pin {pn}: -> {pnet}{ntype} [connected]")
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return "\n".join(lines)
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lines = [f"Pintable for {designator} ({comp.mpn}):"]
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matched: set[str] = set()
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for p in sorted(constraints.pintable, key=lambda x: _pin_sort_key(str(x.number))):
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net_name = comp.pins.get(str(p.number))
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func_str = f" [alt: {', '.join(p.functions)}]" if p.functions else ""
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if net_name:
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matched.add(str(p.number))
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net = graph.nets.get(net_name)
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voltage_str = _reviewer_voltage_str(net)
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ntype = net.net_type.value if net else "?"
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lines.append(f" Pin {p.number} ({p.name}): -> {net_name} [{ntype}{voltage_str}]{func_str} [connected]")
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else:
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tp_note = " [likely exposed pad — check orphan schematic pins below]" if _is_thermal_pad_pin(p) else ""
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||||
lines.append(f" Pin {p.number} ({p.name}){func_str}: [unconnected]{tp_note}")
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||||
orphans = [pn for pn in comp.pins if pn not in matched]
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if orphans:
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lines.append("")
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||||
lines.append(
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"Additional schematic pins (not in datasheet pintable — "
|
||||
"commonly the EP/thermal pad under a user-chosen pin number):"
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||||
)
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||||
for pn in sorted(orphans, key=_pin_sort_key):
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||||
net_name = comp.pins.get(pn) or ""
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||||
net = graph.nets.get(net_name)
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voltage_str = _reviewer_voltage_str(net)
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||||
ntype = net.net_type.value if net else "?"
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||||
lines.append(f" Pin {pn}: -> {net_name} [{ntype}{voltage_str}]")
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||||
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||||
return "\n".join(lines)
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||||
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||||
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||||
def _resolve_neighbor_pdf(
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state: ExcerptState,
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||||
mpn: str,
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||||
) -> Path | None:
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||||
"""Resolve a neighbor IC's MPN to a local PDF path.
|
||||
|
||||
Mirrors validation._find_pdf's local-then-library lookup so neighbor
|
||||
datasheets follow the same resolution rules as the IC under review.
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||||
"""
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||||
from backend.services.datasheet_finder import find_local_pdf
|
||||
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||||
local = find_local_pdf(state.pdf_dir, mpn)
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||||
if local is not None and local.is_file():
|
||||
wanted = state.pdf_dir / f"{safe_mpn(mpn)}.pdf"
|
||||
if local.resolve() != wanted.resolve() and not wanted.is_file():
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||||
wanted.write_bytes(local.read_bytes())
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||||
return wanted
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||||
return local
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||||
if state.storage is not None:
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||||
try:
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||||
from backend.services import projects as proj_svc
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||||
lib_key = proj_svc.library_has_datasheet(state.storage, mpn)
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||||
if lib_key:
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||||
wanted = state.pdf_dir / f"{safe_mpn(mpn)}.pdf"
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||||
state.storage.download_to_local(lib_key, wanted)
|
||||
if wanted.is_file():
|
||||
return wanted
|
||||
except Exception:
|
||||
log.exception("excerpt: library lookup failed for %s", mpn)
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||||
return None
|
||||
|
||||
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||||
def _trim_pdf_by_keywords(
|
||||
pdf_path: Path,
|
||||
keyword_re: re.Pattern,
|
||||
max_pages: int,
|
||||
) -> tuple[str, list[int]]:
|
||||
"""Pypdf-trim a PDF to pages matching a keyword regex (+/-1 neighbors).
|
||||
|
||||
Returns ``(trimmed_pdf_path, kept_page_numbers_1indexed)``. The trimmed
|
||||
path is a temp file the caller is responsible for cleaning up *eventually*
|
||||
— in practice we keep these for the lifetime of the validation run so the
|
||||
same excerpt can be reused across ICs.
|
||||
|
||||
Page numbers in the return list are 1-indexed and refer to the *original*
|
||||
PDF, so the model can cite them as ``source_page`` consistent with the
|
||||
no-remap convention used everywhere else in the reviewer.
|
||||
"""
|
||||
from pypdf import PdfReader, PdfWriter
|
||||
|
||||
reader = PdfReader(str(pdf_path))
|
||||
total = len(reader.pages)
|
||||
if total == 0:
|
||||
return str(pdf_path), []
|
||||
|
||||
keep: set[int] = set()
|
||||
for i, page in enumerate(reader.pages):
|
||||
try:
|
||||
text = page.extract_text() or ""
|
||||
except Exception:
|
||||
text = ""
|
||||
if keyword_re.search(text):
|
||||
for n in (i - 1, i, i + 1):
|
||||
if 0 <= n < total:
|
||||
keep.add(n)
|
||||
if len(keep) >= max_pages:
|
||||
break
|
||||
|
||||
if not keep:
|
||||
# Fall back: first few pages so the model gets *something* it can
|
||||
# decline to use, rather than an empty excerpt.
|
||||
keep = set(range(min(3, total)))
|
||||
|
||||
selected = sorted(keep)[:max_pages]
|
||||
writer = PdfWriter()
|
||||
for i in selected:
|
||||
writer.add_page(reader.pages[i])
|
||||
tmp = tempfile.NamedTemporaryFile(suffix=".pdf", delete=False)
|
||||
writer.write(tmp)
|
||||
tmp.close()
|
||||
return tmp.name, [i + 1 for i in selected]
|
||||
|
||||
|
||||
def get_datasheet_excerpt(
|
||||
graph: DesignGraph,
|
||||
constraints_map: ConstraintsMap,
|
||||
designator: str,
|
||||
topic: str,
|
||||
state: ExcerptState | None,
|
||||
):
|
||||
"""Return pages from a *connected* neighbor IC's datasheet for a topic.
|
||||
|
||||
Returns ``(text_summary, pdf_block_or_none)`` — the caller treats the text
|
||||
as the tool's ``content`` and attaches the PdfBlock (if present) to the
|
||||
same user message so the model can read the pages on the next turn.
|
||||
|
||||
Restricted to neighbors of the IC under review (state.connected_designators).
|
||||
Subject to per-review fetch/page budget caps.
|
||||
"""
|
||||
if state is None:
|
||||
return ("get_datasheet_excerpt called without per-review state — "
|
||||
"this is a bug, no excerpt returned.", None)
|
||||
|
||||
# Lazy import to avoid backend↔periscopex circular dependency at module load.
|
||||
from backend.services.llm import PdfBlock
|
||||
|
||||
designator = (designator or "").strip()
|
||||
topic = (topic or "").strip().lower()
|
||||
|
||||
if topic not in EXCERPT_TOPICS:
|
||||
valid = ", ".join(sorted(EXCERPT_TOPICS.keys()))
|
||||
return (f"Unknown topic '{topic}'. Valid topics: {valid}.", None)
|
||||
|
||||
if designator == state.current_ic:
|
||||
return (
|
||||
f"You are already reviewing {designator}'s datasheet — its pages "
|
||||
f"are in your initial context. Use the existing PDF, no excerpt "
|
||||
f"fetch needed.",
|
||||
None,
|
||||
)
|
||||
|
||||
if designator not in state.connected_designators:
|
||||
return (
|
||||
f"{designator} is not a signal neighbor of {state.current_ic} "
|
||||
f"in this design. The excerpt tool is restricted to ICs that "
|
||||
f"share a signal net with the IC under review. If you suspect "
|
||||
f"the issue still applies, submit WARNING with an explicit "
|
||||
f"Unverified: assumption.",
|
||||
None,
|
||||
)
|
||||
|
||||
comp = graph.components.get(designator)
|
||||
if comp is None:
|
||||
return (f"Component '{designator}' not found in design graph.", None)
|
||||
|
||||
mpn = comp.mpn or comp.value
|
||||
if not mpn:
|
||||
return (f"{designator} has no MPN — cannot resolve a datasheet.", None)
|
||||
|
||||
# Budget checks before doing pypdf work. Three caps, in order:
|
||||
# - fetch_count: total excerpt calls this review (bounds turn cost).
|
||||
# - per_neighbor_page_budget: pages already pulled from THIS neighbor —
|
||||
# once a neighbor is fully examined, more pages won't help.
|
||||
# - page_budget: global ceiling across all neighbors (hub-IC fan-out).
|
||||
# The per-neighbor cap is checked before the global one so that pulling
|
||||
# the 2-3 topics needed to verify a single interface is never starved by
|
||||
# pages spent on other neighbors.
|
||||
neighbor_pages = state.pages_per_neighbor.get(designator, 0)
|
||||
if state.fetch_count >= state.fetch_budget:
|
||||
return (
|
||||
f"Excerpt budget exhausted ({state.fetch_count}/"
|
||||
f"{state.fetch_budget} fetches used). Submit WARNING with an "
|
||||
f"explicit Unverified: assumption rather than fetching more.",
|
||||
None,
|
||||
)
|
||||
if neighbor_pages >= state.per_neighbor_page_budget:
|
||||
return (
|
||||
f"Per-neighbor excerpt budget for {designator} exhausted "
|
||||
f"({neighbor_pages}/{state.per_neighbor_page_budget} pages). "
|
||||
f"You have read enough of {designator}'s datasheet; submit "
|
||||
f"WARNING with an explicit Unverified: assumption if the spec "
|
||||
f"still isn't resolved.",
|
||||
None,
|
||||
)
|
||||
if state.page_count >= state.page_budget:
|
||||
return (
|
||||
f"Excerpt page budget exhausted ({state.page_count}/"
|
||||
f"{state.page_budget} pages used). Submit WARNING with an "
|
||||
f"explicit Unverified: assumption rather than fetching more.",
|
||||
None,
|
||||
)
|
||||
|
||||
pdf_path = _resolve_neighbor_pdf(state, mpn)
|
||||
if pdf_path is None:
|
||||
return (
|
||||
f"No datasheet PDF available for {designator} ({mpn}). Submit "
|
||||
f"WARNING with an explicit Unverified: assumption stating what "
|
||||
f"you needed to verify.",
|
||||
None,
|
||||
)
|
||||
|
||||
# Stable cache key — md5 the source PDF once, reuse across ICs.
|
||||
import hashlib
|
||||
try:
|
||||
ds_md5 = hashlib.md5(pdf_path.read_bytes()).hexdigest()
|
||||
except Exception:
|
||||
log.exception("excerpt: md5 failed for %s", pdf_path)
|
||||
ds_md5 = pdf_path.name
|
||||
|
||||
cache_key = (designator, topic, ds_md5)
|
||||
cache_val = state.cache.get(cache_key)
|
||||
pages: list[int]
|
||||
trimmed_path: str
|
||||
if (
|
||||
isinstance(cache_val, tuple)
|
||||
and len(cache_val) == 2
|
||||
and Path(cache_val[0]).is_file()
|
||||
):
|
||||
trimmed_path, pages = cache_val # type: ignore[assignment]
|
||||
else:
|
||||
keyword_re = EXCERPT_TOPICS[topic]
|
||||
remaining_budget = min(
|
||||
_EXCERPT_MAX_PAGES_PER_FETCH,
|
||||
max(1, state.page_budget - state.page_count),
|
||||
max(1, state.per_neighbor_page_budget - neighbor_pages),
|
||||
)
|
||||
trimmed_path, pages = _trim_pdf_by_keywords(
|
||||
pdf_path, keyword_re, remaining_budget,
|
||||
)
|
||||
state.cache[cache_key] = (trimmed_path, pages)
|
||||
|
||||
# Update per-review budget counters
|
||||
state.fetch_count += 1
|
||||
state.page_count += len(pages)
|
||||
state.pages_per_neighbor[designator] = neighbor_pages + len(pages)
|
||||
|
||||
block = PdfBlock(path=Path(trimmed_path), cacheable=True)
|
||||
summary = (
|
||||
f"Returned {len(pages)} pages from {designator} ({mpn}) matching "
|
||||
f"topic '{topic}': pages {pages}. The PDF excerpt is attached to "
|
||||
f"this message — read it and cite the printed page number from the "
|
||||
f"original datasheet in any resulting finding. These pages are from "
|
||||
f"{designator}'s datasheet (not the component under review), so set "
|
||||
f"that finding's source_designator to \"{designator}\" — otherwise the "
|
||||
f"page number would resolve against the wrong datasheet."
|
||||
)
|
||||
return summary, block
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Tool schemas (for Claude API)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
FIND_CONNECTED_COMPONENTS_SCHEMA = {
|
||||
"name": "find_connected_components",
|
||||
"description": (
|
||||
"Find all components connected to the same net as a specific pin. "
|
||||
"Returns net info and each component with full specs and pin map. "
|
||||
"Use designator_filter to narrow results (e.g. 'C' for capacitors, 'R' for resistors)."
|
||||
),
|
||||
"input_schema": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"designator": {
|
||||
"type": "string",
|
||||
"description": "Component reference, e.g. 'U1', 'U2'",
|
||||
},
|
||||
"pin": {
|
||||
"type": "string",
|
||||
"description": "Pin number, e.g. '1', '7'",
|
||||
},
|
||||
"designator_filter": {
|
||||
"type": "string",
|
||||
"description": "Optional prefix filter: 'C' for caps, 'R' for resistors, 'U' for ICs, etc.",
|
||||
},
|
||||
},
|
||||
"required": ["designator", "pin"],
|
||||
},
|
||||
}
|
||||
|
||||
GET_NET_FOR_PIN_SCHEMA = {
|
||||
"name": "get_net_for_pin",
|
||||
"description": (
|
||||
"Get the net name, type, and voltage for a specific pin. "
|
||||
"Lightweight — no component listing. Use for quick voltage checks."
|
||||
),
|
||||
"input_schema": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"designator": {
|
||||
"type": "string",
|
||||
"description": "Component reference, e.g. 'U1'",
|
||||
},
|
||||
"pin": {
|
||||
"type": "string",
|
||||
"description": "Pin number, e.g. '1'",
|
||||
},
|
||||
},
|
||||
"required": ["designator", "pin"],
|
||||
},
|
||||
}
|
||||
|
||||
SHORTEST_PATH_SCHEMA = {
|
||||
"name": "shortest_path",
|
||||
"description": (
|
||||
"Find the shortest hop path through the netlist between two pins "
|
||||
"(component.pin → nets → components). Use to verify whether two "
|
||||
"pins share a rail path, or how a signal reaches another IC, "
|
||||
"instead of guessing from neighborhood context."
|
||||
),
|
||||
"input_schema": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"designator_a": {
|
||||
"type": "string",
|
||||
"description": "Start component reference, e.g. 'U1'",
|
||||
},
|
||||
"pin_a": {
|
||||
"type": "string",
|
||||
"description": "Start pin number, e.g. '12'",
|
||||
},
|
||||
"designator_b": {
|
||||
"type": "string",
|
||||
"description": "End component reference, e.g. 'U3'",
|
||||
},
|
||||
"pin_b": {
|
||||
"type": "string",
|
||||
"description": "End pin number, e.g. '5'",
|
||||
},
|
||||
},
|
||||
"required": ["designator_a", "pin_a", "designator_b", "pin_b"],
|
||||
},
|
||||
}
|
||||
|
||||
GET_PINTABLE_SCHEMA = {
|
||||
"name": "get_pintable",
|
||||
"description": (
|
||||
"Get the full pin mapping for a component: pin numbers, names, "
|
||||
"net connections, and whether each pin is connected or unconnected. "
|
||||
"Use when pin naming is ambiguous or to check for floating pins."
|
||||
),
|
||||
"input_schema": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"designator": {
|
||||
"type": "string",
|
||||
"description": "Component reference, e.g. 'U1'",
|
||||
},
|
||||
},
|
||||
"required": ["designator"],
|
||||
},
|
||||
}
|
||||
|
||||
SUBMIT_REVIEW_SCHEMA = {
|
||||
"name": "submit_review",
|
||||
"description": (
|
||||
"Submit all findings from your review. Only include issues in findings — "
|
||||
"do not submit findings for things that are correct. "
|
||||
"List what you checked and found OK in checked_areas."
|
||||
),
|
||||
"input_schema": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"findings": {
|
||||
"type": "array",
|
||||
"description": "List of issues found. Empty array if no issues.",
|
||||
"items": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"finding": {
|
||||
"type": "string",
|
||||
"description": "What you observed in the actual circuit. 1-3 sentences.",
|
||||
},
|
||||
"why": {
|
||||
"type": "string",
|
||||
"description": "Why this matters — what the datasheet says and what could go wrong. 1-3 sentences.",
|
||||
},
|
||||
"status": {
|
||||
"type": "string",
|
||||
"enum": ["ERROR", "WARNING", "INFO"],
|
||||
"description": "ERROR: will cause malfunction. WARNING: may degrade reliability. INFO: worth noting.",
|
||||
},
|
||||
"source_page": {
|
||||
"type": "integer",
|
||||
"description": "Datasheet page number where the requirement is stated.",
|
||||
},
|
||||
"source_quote": {
|
||||
"type": "string",
|
||||
"description": (
|
||||
"Required for ERROR and WARNING. Exact verbatim "
|
||||
"datasheet text (max ~200 chars). Periscope "
|
||||
"checks it against the PDF page. Omit only if "
|
||||
"the evidence is a figure/scan with no text."
|
||||
),
|
||||
},
|
||||
"source_designator": {
|
||||
"type": "string",
|
||||
"description": (
|
||||
"Designator of the component whose datasheet "
|
||||
"source_page and source_quote refer to. OMIT "
|
||||
"this when the page/quote is from the component "
|
||||
"you are reviewing (its own datasheet — the "
|
||||
"common case). Set it ONLY when the evidence "
|
||||
"came from a connected component's datasheet "
|
||||
"that you fetched with get_datasheet_excerpt "
|
||||
"(e.g. \"U3\"), so source_page resolves to the "
|
||||
"correct datasheet."
|
||||
),
|
||||
},
|
||||
"recommendation": {
|
||||
"type": "string",
|
||||
"description": "What to change to fix the issue. Only for ERROR/WARNING.",
|
||||
},
|
||||
},
|
||||
"required": ["finding", "why", "status", "source_page"],
|
||||
},
|
||||
},
|
||||
"checked_areas": {
|
||||
"type": "array",
|
||||
"description": (
|
||||
"Areas you reviewed and found correct. Short labels, e.g. "
|
||||
"'input decoupling', 'output capacitor', 'enable logic', "
|
||||
"'crystal circuit', 'voltage margins', 'reset circuit'."
|
||||
),
|
||||
"items": {"type": "string"},
|
||||
},
|
||||
},
|
||||
"required": ["findings", "checked_areas"],
|
||||
},
|
||||
}
|
||||
|
||||
GET_DATASHEET_EXCERPT_SCHEMA = {
|
||||
"name": "get_datasheet_excerpt",
|
||||
"description": (
|
||||
"Fetch a focused excerpt of a *connected* IC's datasheet — the pages "
|
||||
"covering one topic (abs-max, electrical characteristics, 5V-tolerance, "
|
||||
"etc.). Use this BEFORE flagging any cross-IC interface issue that "
|
||||
"depends on the counterpart's spec. Restricted to ICs that share a "
|
||||
"signal net with the IC under review. Subject to a per-review fetch "
|
||||
"budget; if exhausted, submit WARNING with an explicit Unverified: "
|
||||
"assumption rather than guessing."
|
||||
),
|
||||
"input_schema": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"designator": {
|
||||
"type": "string",
|
||||
"description": (
|
||||
"Reference of a connected IC (e.g. 'U3'). Must be a "
|
||||
"signal neighbor of the IC under review."
|
||||
),
|
||||
},
|
||||
"topic": {
|
||||
"type": "string",
|
||||
"enum": sorted(EXCERPT_TOPICS.keys()),
|
||||
"description": (
|
||||
"Which datasheet section to pull. Pick the narrowest "
|
||||
"topic that covers the spec you need — pin_voltage_levels "
|
||||
"for 5V-tolerance / VIH / VIL, absolute_max for stress "
|
||||
"ratings, electrical_characteristics for drive "
|
||||
"strengths, application_circuit for reference designs."
|
||||
),
|
||||
},
|
||||
},
|
||||
"required": ["designator", "topic"],
|
||||
},
|
||||
}
|
||||
|
||||
GRAPH_TOOLS = [
|
||||
FIND_CONNECTED_COMPONENTS_SCHEMA,
|
||||
GET_NET_FOR_PIN_SCHEMA,
|
||||
SHORTEST_PATH_SCHEMA,
|
||||
GET_PINTABLE_SCHEMA,
|
||||
GET_DATASHEET_EXCERPT_SCHEMA,
|
||||
]
|
||||
ALL_TOOLS = GRAPH_TOOLS + [SUBMIT_REVIEW_SCHEMA]
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Dispatcher
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
def execute_tool(
|
||||
graph: DesignGraph,
|
||||
constraints_map: ConstraintsMap,
|
||||
tool_name: str,
|
||||
tool_input: dict,
|
||||
state: ExcerptState | None = None,
|
||||
):
|
||||
"""Execute a graph-query tool call.
|
||||
|
||||
Returns ``(text, attachment)`` where ``attachment`` is an optional
|
||||
PdfBlock the caller should append to the next user message alongside the
|
||||
tool_result. All tools except ``get_datasheet_excerpt`` return
|
||||
``(text, None)``.
|
||||
"""
|
||||
if tool_name == "find_connected_components":
|
||||
return (
|
||||
find_connected_components(
|
||||
graph, constraints_map,
|
||||
tool_input["designator"],
|
||||
tool_input["pin"],
|
||||
tool_input.get("designator_filter"),
|
||||
),
|
||||
None,
|
||||
)
|
||||
if tool_name == "get_net_for_pin":
|
||||
return (
|
||||
get_net_for_pin(
|
||||
graph, constraints_map,
|
||||
tool_input["designator"],
|
||||
tool_input["pin"],
|
||||
),
|
||||
None,
|
||||
)
|
||||
if tool_name == "shortest_path":
|
||||
return (
|
||||
shortest_path(
|
||||
graph, constraints_map,
|
||||
tool_input["designator_a"],
|
||||
tool_input["pin_a"],
|
||||
tool_input["designator_b"],
|
||||
tool_input["pin_b"],
|
||||
),
|
||||
None,
|
||||
)
|
||||
if tool_name == "get_pintable":
|
||||
return (
|
||||
get_pintable(
|
||||
graph, constraints_map,
|
||||
tool_input["designator"],
|
||||
),
|
||||
None,
|
||||
)
|
||||
if tool_name == "get_datasheet_excerpt":
|
||||
return get_datasheet_excerpt(
|
||||
graph, constraints_map,
|
||||
tool_input.get("designator", ""),
|
||||
tool_input.get("topic", ""),
|
||||
state,
|
||||
)
|
||||
return (f"Unknown tool: {tool_name}", None)
|
||||
Reference in New Issue
Block a user