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esphome/esphome/espidf/size_summary.py
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Python

"""PlatformIO-format RAM/Flash one-liners after a native ESP-IDF build.
``idf.py size`` (chained onto ``idf.py build`` in
``toolchain.run_compile``) prints the per-region table inline as part
of the build. This module adds two summary lines underneath,
byte-identical to PlatformIO's output:
RAM: [==== ] 26.5% (used 47932 bytes from 180736 bytes)
Flash: [=== ] 48.4% (used 888511 bytes from 1835008 bytes)
The format matches ``script/ci_memory_impact_extract.py`` so CI memory
analysis works unchanged on native ESP-IDF builds. RAM total is the
DRAM region size from the linker map; Flash total is taken from
``partitions.csv`` using PlatformIO's rule (first app partition whose
subtype is ``factory`` or ``ota_0``; see
``platform-espressif32/builder/main.py::_update_max_upload_size``).
Structured size data is produced at link time by a CMake POST_BUILD
custom command (see ``build_gen/espidf.py``) which writes
``esp_idf_size.json`` next to the ELF. We read that file here rather
than re-running ``esp_idf_size`` from Python.
"""
from __future__ import annotations
import csv
import json
import logging
from pathlib import Path
from esphome.build_helpers.size_summary import print_size_line
_LOGGER = logging.getLogger(__name__)
_SIZE_SUFFIXES = {"K": 1024, "M": 1024 * 1024}
def _parse_size(token: str) -> int:
token = token.strip()
if not token:
return 0
if token.startswith(("0x", "0X")):
return int(token, 16)
suffix = token[-1].upper()
if suffix in _SIZE_SUFFIXES:
return int(token[:-1]) * _SIZE_SUFFIXES[suffix]
return int(token)
def _find_app_partition_size(partitions_csv: Path) -> int:
"""Return the size of the firmware's app partition.
Mirrors PlatformIO's ``platform-espressif32/builder/main.py::
_update_max_upload_size``: take the first ``app``-type partition
whose subtype is ``factory`` or ``ota_0``. Order matters because
layouts like Adafruit's ``partitions-4MB-tinyuf2.csv`` repurpose
``factory`` for a UF2 bootloader before the real OTA slot, so a
naive "prefer factory" rule would pick the wrong row. Raises
``ValueError`` if no qualifying partition is present.
"""
if not partitions_csv.is_file():
raise ValueError(f"partitions.csv not found at {partitions_csv}")
for row in csv.reader(partitions_csv.read_text(encoding="utf-8").splitlines()):
cells = [c.strip() for c in row]
if not cells or cells[0].startswith("#") or len(cells) < 5:
continue
ptype, psubtype, psize = cells[1], cells[2], cells[4]
if ptype in ("app", "0") and psubtype in ("factory", "ota_0"):
return _parse_size(psize)
raise ValueError(f"No app+factory or app+ota_0 partition in {partitions_csv}")
def print_summary(size_json: Path, partitions_csv: Path | None) -> None:
"""Print PlatformIO-shaped RAM and Flash one-liners.
Failures are non-fatal: the build has already succeeded, we just couldn't
summarize. Logs the cause at warning level, so a missing RAM/Flash line
(which CI's memory-impact extraction greps for) is diagnosable.
"""
if not size_json.is_file():
_LOGGER.warning("Skipping size summary: %s not found", size_json)
return
try:
data = json.loads(size_json.read_text(encoding="utf-8"))
except (OSError, json.JSONDecodeError) as e:
_LOGGER.warning("Skipping size summary: %s", e)
return
memory_types = data.get("memory_types", {})
ram_region = memory_types.get("DRAM") or memory_types.get("DIRAM") or {}
ram_used = ram_region.get("used")
ram_total = ram_region.get("size")
if ram_total and ram_used is not None:
print_size_line("RAM", ram_used, ram_total)
else:
_LOGGER.warning(
"Skipping RAM summary: no usable DRAM/DIRAM region in %s", size_json
)
image_size = data.get("image_size")
if image_size is None:
_LOGGER.warning("Skipping Flash summary: no image_size in %s", size_json)
return
if partitions_csv is None:
_LOGGER.warning("Skipping Flash summary: no partition table given")
return
try:
app_size = _find_app_partition_size(partitions_csv)
except ValueError as e:
_LOGGER.warning("Skipping Flash summary: %s", e)
return
print_size_line("Flash", image_size, app_size)