Updates

analysis/report.py

@@ -0,0 +1,172 @@
+"""Per-run artefact writers and the master flicker_log.csv appender."""
+
+from __future__ import annotations
+
+import csv
+import json
+import os
+from datetime import datetime
+from pathlib import Path
+from typing import Optional
+
+import pandas as pd
+
+from config import CAPTURE_ROOT
+
+
+FLICKER_LOG_NAME = "flicker_log.csv"
+FLICKER_LOG_COLUMNS = [
+    "run_id",
+    "timestamp",
+    "flicker_detected",
+    "sot_err",
+    "synch_err",
+    "pll_locked",
+    "t_lpx_ns",
+    "t_hs_prepare_ns",
+    "t_hs_prepare_pass",
+    "t_clk_prepare_ns",
+    "t_clk_zero_ns",
+    "t_clk_prep_plus_zero_ns",
+    "t_clk_prep_zero_pass",
+    "phy_timing_raw",
+    "phy_timing1_raw",
+    "phy_timing2_raw",
+    "notes",
+]
+
+
+def make_run_dir(root: str = CAPTURE_ROOT, run_idx: Optional[int] = None) -> Path:
+    base = Path(root)
+    base.mkdir(parents=True, exist_ok=True)
+    if run_idx is None:
+        run_idx = _next_run_index(base)
+    stamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+    run_id = f"run_{run_idx:03d}_{stamp}"
+    path = base / run_id
+    path.mkdir(parents=True, exist_ok=False)
+    return path
+
+
+def _next_run_index(base: Path) -> int:
+    existing = [p.name for p in base.iterdir() if p.is_dir() and p.name.startswith("run_")]
+    if not existing:
+        return 1
+    nums: list[int] = []
+    for n in existing:
+        try:
+            nums.append(int(n.split("_")[1]))
+        except (IndexError, ValueError):
+            continue
+    return (max(nums) + 1) if nums else 1
+
+
+def save_waveforms(run_dir: Path, waveforms: dict[str, pd.DataFrame]) -> None:
+    """Save each channel as waveform_chN.csv per spec §8.3."""
+    label_to_ch = {"CLK_P": 1, "CLK_N": 2, "DAT0_P": 3, "DAT0_N": 4}
+    for label, df in waveforms.items():
+        ch = label_to_ch.get(label)
+        if ch is None:
+            continue
+        df.to_csv(run_dir / f"waveform_ch{ch}.csv", index=False)
+
+
+def save_registers(run_dir: Path, dsim: dict, sn65: dict, settling: dict | list) -> None:
+    payload = {"dsim": dsim, "sn65": sn65, "settling": settling}
+    (run_dir / "registers.json").write_text(json.dumps(payload, indent=2))
+
+
+def save_timing_analysis(run_dir: Path, measurements: dict, spec_pass: dict,
+                         packet_fault: dict, lane_stall: dict) -> None:
+    payload = {
+        "measurements_ns": measurements,
+        "spec_compliance": spec_pass,
+        "packet_fault_a": packet_fault,
+        "lane_stall_b": lane_stall,
+    }
+    (run_dir / "timing_analysis.json").write_text(json.dumps(payload, indent=2))
+
+
+def save_summary(run_dir: Path, summary_text: str) -> None:
+    (run_dir / "summary.txt").write_text(summary_text)
+
+
+def append_flicker_log(root: str, row: dict) -> None:
+    log_path = Path(root) / FLICKER_LOG_NAME
+    is_new = not log_path.exists()
+    with log_path.open("a", newline="") as f:
+        writer = csv.DictWriter(f, fieldnames=FLICKER_LOG_COLUMNS, extrasaction="ignore")
+        if is_new:
+            writer.writeheader()
+        writer.writerow(row)
+
+
+def build_summary(run_id: str, sn65_parsed: dict, measurements: dict,
+                  spec_pass: dict, packet_fault: dict, lane_stall: dict,
+                  dsim_parsed: dict, note: str = "") -> str:
+    lines = [
+        f"Run: {run_id}",
+        f"Timestamp: {datetime.now().isoformat(timespec='seconds')}",
+        "",
+        "[ SN65DSI83 ]",
+        f"  PLL locked:    {sn65_parsed.get('pll_locked')}",
+        f"  Clock detect:  {sn65_parsed.get('clk_detected')}",
+        f"  IRQ_STAT:      {sn65_parsed.get('irq_stat_raw')}",
+        f"    SOT_ERR:     {sn65_parsed.get('sot_err')}",
+        f"    SYNCH_ERR:   {sn65_parsed.get('synch_err')}",
+        f"    UNC_ECC_ERR: {sn65_parsed.get('unc_ecc_err')}",
+        f"  FLICKER:       {sn65_parsed.get('flicker_detected')}",
+        "",
+        "[ D-PHY timings (ns) ]",
+    ]
+    for k, v in measurements.items():
+        sp = spec_pass.get(k, {})
+        marker = "OK" if sp.get("pass") else "VIOLATION"
+        margin = sp.get("margin_ns")
+        margin_str = f"margin={margin:+.2f}" if margin is not None else "margin=n/a"
+        v_str = f"{v:.2f}" if v is not None and v == v else "nan"  # NaN check
+        lines.append(f"  {k:30s} {v_str:>8s}   [{marker}] (min={sp.get('min_ns')}, {margin_str})")
+
+    lines += [
+        "",
+        "[ Packet decode (Lane 0) ]",
+        f"  Fault A (zero-payload pixel pkt): {packet_fault.get('fault_a_detected')}",
+        f"  First payload bytes:              {packet_fault.get('first_pixel_payload_hex')}",
+        f"  Pixel packets / total:            "
+        f"{packet_fault.get('n_pixel_packets')} / {packet_fault.get('n_total_packets')}",
+        "",
+        "[ Lane stall ]",
+        f"  Fault B (LP-11 stall):  {lane_stall.get('fault_b_detected')}",
+        f"  Longest LP-11 (ms):     {lane_stall.get('longest_lp11_ms')}",
+        "",
+        "[ DSIM raw / decoded ]",
+        f"  PHY_TIMING:  {dsim_parsed.get('PHY_TIMING_raw')}",
+        f"  PHY_TIMING1: {dsim_parsed.get('PHY_TIMING1_raw')}",
+        f"  PHY_TIMING2: {dsim_parsed.get('PHY_TIMING2_raw')}",
+    ]
+    if note:
+        lines += ["", f"Note: {note}"]
+    return os.linesep.join(lines) + os.linesep
+
+
+def build_log_row(run_id: str, sn65_parsed: dict, measurements: dict,
+                  spec_pass: dict, dsim_parsed: dict, note: str = "") -> dict:
+    return {
+        "run_id": run_id,
+        "timestamp": datetime.now().isoformat(timespec="seconds"),
+        "flicker_detected": sn65_parsed.get("flicker_detected"),
+        "sot_err": sn65_parsed.get("sot_err"),
+        "synch_err": sn65_parsed.get("synch_err"),
+        "pll_locked": sn65_parsed.get("pll_locked"),
+        "t_lpx_ns": measurements.get("t_lpx"),
+        "t_hs_prepare_ns": measurements.get("t_hs_prepare"),
+        "t_hs_prepare_pass": spec_pass.get("t_hs_prepare", {}).get("pass"),
+        "t_clk_prepare_ns": measurements.get("t_clk_prepare"),
+        "t_clk_zero_ns": measurements.get("t_clk_zero"),
+        "t_clk_prep_plus_zero_ns": measurements.get("t_clk_prepare_plus_zero"),
+        "t_clk_prep_zero_pass": spec_pass.get("t_clk_prepare_plus_zero", {}).get("pass"),
+        "phy_timing_raw": dsim_parsed.get("PHY_TIMING_raw"),
+        "phy_timing1_raw": dsim_parsed.get("PHY_TIMING1_raw"),
+        "phy_timing2_raw": dsim_parsed.get("PHY_TIMING2_raw"),
+        "notes": note,
+    }