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esphome/script/ci_memory_impact_extract.py
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#!/usr/bin/env python3
"""Extract memory usage statistics from ESPHome build output.
This script parses the build output to extract RAM and flash usage
statistics for a compiled component. It's used by the CI workflow to
compare memory usage between branches.
The script reads compile output from stdin and looks for the standard
PlatformIO output format:
RAM: [==== ] 36.1% (used 29548 bytes from 81920 bytes)
Flash: [=== ] 34.0% (used 348511 bytes from 1023984 bytes)
or the linker memory usage table printed by Zephyr native builds
(e.g. nRF52 with the sdk-nrf toolchain):
Memory region Used Size Region Size %age Used
FLASH: 90624 B 796 KB 11.12%
RAM: 22432 B 256 KB 8.56%
IDT_LIST: 0 GB 32 KB 0.00%
Optionally performs detailed memory analysis if a build directory is provided.
"""
from __future__ import annotations
import argparse
import json
from pathlib import Path
import re
import sys
# Add esphome to path
sys.path.insert(0, str(Path(__file__).parent.parent))
# pylint: disable=wrong-import-position
from esphome.analyze_memory import MemoryAnalyzer
from esphome.analyze_memory.toolchain import (
find_elf_path,
find_idedata_path,
idedata_candidates,
)
from esphome.platformio.toolchain import IDEData
from script.ci_helpers import write_github_output
# Regex patterns for extracting memory usage from PlatformIO output
_RAM_PATTERN = re.compile(r"RAM:\s+\[.*?\]\s+\d+\.\d+%\s+\(used\s+(\d+)\s+bytes")
_FLASH_PATTERN = re.compile(r"Flash:\s+\[.*?\]\s+\d+\.\d+%\s+\(used\s+(\d+)\s+bytes")
_BUILD_PATH_PATTERN = re.compile(r"Build path: (.+)")
# Zephyr native builds print the GNU ld --print-memory-usage table instead of
# the PlatformIO summary. Only the FLASH and RAM regions are real memory
# (IDT_LIST is a build-time pseudo-region discarded from the final image).
# Each cell is humanized to the largest unit that divides evenly, so used
# sizes are not always plain bytes (zero prints as "0 GB").
_ZEPHYR_RAM_PATTERN = re.compile(
r"^\s*RAM:\s+(\d+)\s*([KMG]?B)\s+\d+\s*[KMG]?B\s+\d+\.\d+%", re.MULTILINE
)
_ZEPHYR_FLASH_PATTERN = re.compile(
r"^\s*FLASH:\s+(\d+)\s*([KMG]?B)\s+\d+\s*[KMG]?B\s+\d+\.\d+%", re.MULTILINE
)
_ZEPHYR_UNIT_MULTIPLIERS = {"B": 1, "KB": 1024, "MB": 1024**2, "GB": 1024**3}
def _zephyr_bytes(matches: list[tuple[str, str]]) -> int:
"""Sum humanized (value, unit) pairs from the Zephyr memory table."""
return sum(int(value) * _ZEPHYR_UNIT_MULTIPLIERS[unit] for value, unit in matches)
def extract_from_compile_output(
output_text: str,
) -> tuple[int | None, int | None, str | None]:
"""Extract memory usage and build directory from compile output.
Supports multiple builds (for component groups or isolated components).
When test_build_components.py creates multiple builds, this sums the
memory usage across all builds.
Looks for PlatformIO lines like:
RAM: [==== ] 36.1% (used 29548 bytes from 81920 bytes)
Flash: [=== ] 34.0% (used 348511 bytes from 1023984 bytes)
and Zephyr (native west build) linker table rows like:
Memory region Used Size Region Size %age Used
FLASH: 90624 B 796 KB 11.12%
RAM: 22432 B 256 KB 8.56%
Also extracts build directory from lines like:
INFO Compiling app... Build path: /path/to/build
Args:
output_text: Compile output text (may contain multiple builds)
Returns:
Tuple of (total_ram_bytes, total_flash_bytes, build_dir) or (None, None, None) if not found
"""
# Find all RAM and Flash matches (may be multiple builds)
ram_matches = _RAM_PATTERN.findall(output_text)
flash_matches = _FLASH_PATTERN.findall(output_text)
# Zephyr native builds print the linker memory table instead
zephyr_ram_matches = _ZEPHYR_RAM_PATTERN.findall(output_text)
zephyr_flash_matches = _ZEPHYR_FLASH_PATTERN.findall(output_text)
if not (ram_matches or zephyr_ram_matches) or not (
flash_matches or zephyr_flash_matches
):
return None, None, None
# Sum all builds (handles multiple component groups)
total_ram = sum(int(match) for match in ram_matches)
total_flash = sum(int(match) for match in flash_matches)
total_ram += _zephyr_bytes(zephyr_ram_matches)
total_flash += _zephyr_bytes(zephyr_flash_matches)
# Extract build directory from ESPHome's explicit build path output
# Look for: INFO Compiling app... Build path: /path/to/build
# Note: Multiple builds reuse the same build path (each overwrites the previous)
build_dir = None
if match := _BUILD_PATH_PATTERN.search(output_text):
build_dir = match.group(1).strip()
return total_ram, total_flash, build_dir
def run_detailed_analysis(build_dir: str) -> dict | None:
"""Run detailed memory analysis on build directory.
Args:
build_dir: Path to ESPHome build directory
Returns:
Dictionary with analysis results or None if analysis fails
"""
build_path = Path(build_dir)
if not build_path.exists():
print(f"Build directory not found: {build_dir}", file=sys.stderr)
return None
elf_path = find_elf_path(build_path)
if not elf_path:
print(f"No firmware ELF found in {build_dir}", file=sys.stderr)
return None
idedata = None
if idedata_path := find_idedata_path(build_path):
try:
with idedata_path.open(encoding="utf-8") as f:
raw_data = json.load(f)
idedata = IDEData(raw_data)
print(f"Loaded idedata from: {idedata_path}", file=sys.stderr)
except (json.JSONDecodeError, OSError) as e:
print(
f"Warning: Failed to load idedata from {idedata_path}: {e}",
file=sys.stderr,
)
else:
# Without idedata the analyzer falls back to whatever binutils are on
# PATH, which are the wrong architecture for a cross build, so say where
# we looked rather than let the results quietly get worse.
searched = "\n ".join(str(p) for p in idedata_candidates(build_path))
print(f"Warning: idedata not found, searched:\n {searched}", file=sys.stderr)
analyzer = MemoryAnalyzer(str(elf_path), idedata=idedata)
components = analyzer.analyze()
# Convert to JSON-serializable format
result = {
"components": {
name: {
"text": mem.text_size,
"rodata": mem.rodata_size,
"data": mem.data_size,
"bss": mem.bss_size,
"flash_total": mem.flash_total,
"ram_total": mem.ram_total,
"symbol_count": mem.symbol_count,
}
for name, mem in components.items()
},
"symbols": {},
}
# Build symbol map
for section in analyzer.sections.values():
for symbol_name, size, _ in section.symbols:
if size > 0:
demangled = analyzer._demangle_symbol(symbol_name)
result["symbols"][demangled] = size
return result
def main() -> int:
"""Main entry point."""
parser = argparse.ArgumentParser(
description="Extract memory usage from ESPHome build output"
)
parser.add_argument(
"--output-env",
action="store_true",
help="Output to GITHUB_OUTPUT environment file",
)
parser.add_argument(
"--build-dir",
help="Optional build directory for detailed memory analysis (overrides auto-detection)",
)
parser.add_argument(
"--output-json",
help="Optional path to save detailed analysis JSON",
)
parser.add_argument(
"--output-build-dir",
help="Optional path to write the detected build directory",
)
args = parser.parse_args()
# Read compile output from stdin
compile_output = sys.stdin.read()
# Extract memory usage and build directory
ram_bytes, flash_bytes, detected_build_dir = extract_from_compile_output(
compile_output
)
if ram_bytes is None or flash_bytes is None:
print(
"Failed to extract memory usage from compile output\n"
"Expected lines like:\n"
" RAM: [==== ] 36.1% (used 29548 bytes from 81920 bytes)\n"
" Flash: [=== ] 34.0% (used 348511 bytes from 1023984 bytes)\n"
"or a Zephyr linker memory usage table like:\n"
" Memory region Used Size Region Size %age Used\n"
" FLASH: 90624 B 796 KB 11.12%\n"
" RAM: 22432 B 256 KB 8.56%",
file=sys.stderr,
)
return 1
# Count how many builds were found
num_builds = len(_RAM_PATTERN.findall(compile_output)) + len(
_ZEPHYR_RAM_PATTERN.findall(compile_output)
)
if num_builds > 1:
print(
f"Found {num_builds} builds - summing memory usage across all builds",
file=sys.stderr,
)
print(
"WARNING: Detailed analysis will only cover the last build",
file=sys.stderr,
)
print(f"Total RAM: {ram_bytes} bytes", file=sys.stderr)
print(f"Total Flash: {flash_bytes} bytes", file=sys.stderr)
# Determine which build directory to use (explicit arg overrides auto-detection)
build_dir = args.build_dir or detected_build_dir
if detected_build_dir:
print(f"Detected build directory: {detected_build_dir}", file=sys.stderr)
if num_builds > 1:
print(
f" (using last of {num_builds} builds for detailed analysis)",
file=sys.stderr,
)
# Write build directory to file if requested
if args.output_build_dir and build_dir:
build_dir_path = Path(args.output_build_dir)
build_dir_path.parent.mkdir(parents=True, exist_ok=True)
build_dir_path.write_text(build_dir, encoding="utf-8")
print(f"Wrote build directory to {args.output_build_dir}", file=sys.stderr)
# Run detailed analysis if build directory available
detailed_analysis = None
if build_dir:
print(f"Running detailed analysis on {build_dir}", file=sys.stderr)
detailed_analysis = run_detailed_analysis(build_dir)
# Save JSON output if requested
if args.output_json:
output_data = {
"ram_bytes": ram_bytes,
"flash_bytes": flash_bytes,
"detailed_analysis": detailed_analysis,
}
output_path = Path(args.output_json)
output_path.parent.mkdir(parents=True, exist_ok=True)
with output_path.open("w", encoding="utf-8") as f:
json.dump(output_data, f, indent=2)
print(f"Saved analysis to {args.output_json}", file=sys.stderr)
if args.output_env:
# Output to GitHub Actions
write_github_output(
{
"ram_usage": ram_bytes,
"flash_usage": flash_bytes,
}
)
else:
print(f"{ram_bytes},{flash_bytes}")
# The build produced usable totals, so a missing detailed analysis means the
# build layout moved out from under this script rather than a broken build.
# Fail loudly: the comment would otherwise silently drop the component
# breakdown and the symbol tables, which is easy to miss for a long time.
if detailed_analysis is None:
print(
"::error::Detailed memory analysis unavailable even though the build "
f"succeeded (build directory: {build_dir or 'not detected'}). The PR "
"comment would be missing its component breakdown and symbol changes.",
file=sys.stderr,
)
return 1
return 0
if __name__ == "__main__":
sys.exit(main())