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seismo-relay/minimateplus/client.py
2026-03-31 20:48:03 -04:00

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"""
client.py — MiniMateClient: the top-level public API for the library.
Combines transport, protocol, and model decoding into a single easy-to-use
class. This is the only layer that the SFM server (sfm/server.py) imports
directly.
Design: stateless per-call (connect → do work → disconnect).
The client does not hold an open connection between calls. This keeps the
first implementation simple and matches Blastware's observed behaviour.
Persistent connections can be added later without changing the public API.
Example (serial):
from minimateplus import MiniMateClient
with MiniMateClient("COM5") as device:
info = device.connect() # POLL handshake + identity read
events = device.get_events() # download all events
Example (TCP / modem):
from minimateplus import MiniMateClient
from minimateplus.transport import TcpTransport
transport = TcpTransport("203.0.113.5", port=12345)
with MiniMateClient(transport=transport) as device:
info = device.connect()
"""
from __future__ import annotations
import logging
import struct
from typing import Optional
from .framing import S3Frame
from .models import (
DeviceInfo,
Event,
PeakValues,
ProjectInfo,
Timestamp,
)
from .protocol import MiniMateProtocol, ProtocolError
from .protocol import (
SUB_SERIAL_NUMBER,
SUB_FULL_CONFIG,
)
from .transport import SerialTransport, BaseTransport
log = logging.getLogger(__name__)
# ── MiniMateClient ────────────────────────────────────────────────────────────
class MiniMateClient:
"""
High-level client for a single MiniMate Plus device.
Args:
port: Serial port name (e.g. "COM5", "/dev/ttyUSB0").
Not required when a pre-built transport is provided.
baud: Baud rate (default 38400, ignored when transport is provided).
timeout: Per-request receive timeout in seconds (default 15.0).
transport: Pre-built transport (SerialTransport or TcpTransport).
If None, a SerialTransport is constructed from port/baud.
"""
def __init__(
self,
port: str = "",
baud: int = 38_400,
timeout: float = 15.0,
transport: Optional[BaseTransport] = None,
) -> None:
self.port = port
self.baud = baud
self.timeout = timeout
self._transport: Optional[BaseTransport] = transport
self._proto: Optional[MiniMateProtocol] = None
# ── Connection lifecycle ──────────────────────────────────────────────────
def open(self) -> None:
"""Open the transport connection."""
if self._transport is None:
self._transport = SerialTransport(self.port, self.baud)
if not self._transport.is_connected:
self._transport.connect()
self._proto = MiniMateProtocol(self._transport, recv_timeout=self.timeout)
def close(self) -> None:
"""Close the transport connection."""
if self._transport and self._transport.is_connected:
self._transport.disconnect()
self._proto = None
@property
def is_open(self) -> bool:
return bool(self._transport and self._transport.is_connected)
# ── Context manager ───────────────────────────────────────────────────────
def __enter__(self) -> "MiniMateClient":
self.open()
return self
def __exit__(self, *_) -> None:
self.close()
# ── Public API ────────────────────────────────────────────────────────────
def connect(self) -> DeviceInfo:
"""
Perform the startup handshake and read device identity.
Opens the connection if not already open.
Reads:
1. POLL handshake (startup)
2. SUB 15 — serial number
3. SUB 01 — full config block (firmware, model strings)
Returns:
Populated DeviceInfo.
Raises:
ProtocolError: on any communication failure.
"""
if not self.is_open:
self.open()
proto = self._require_proto()
log.info("connect: POLL startup")
proto.startup()
log.info("connect: reading serial number (SUB 15)")
sn_data = proto.read(SUB_SERIAL_NUMBER)
device_info = _decode_serial_number(sn_data)
log.info("connect: reading full config (SUB 01)")
cfg_data = proto.read(SUB_FULL_CONFIG)
_decode_full_config_into(cfg_data, device_info)
log.info("connect: %s", device_info)
return device_info
def get_events(self, include_waveforms: bool = True) -> list[Event]:
"""
Download all stored events from the device using the confirmed
1E → 0A → 0C → 1F event-iterator protocol.
Sequence (confirmed from 3-31-26 Blastware capture):
1. SUB 1E — get first waveform key
2. For each key until b'\\x00\\x00\\x00\\x00':
a. SUB 0A — waveform header (first event only, to confirm full record)
b. SUB 0C — full waveform record (peak values, project strings)
c. SUB 1F — advance to next key (token=0xFE skips partial bins)
Subsequent keys returned by 1F (token=0xFE) are guaranteed to be full
records, so 0A is only called for the first event. This exactly
matches Blastware's observed behaviour.
Raw ADC waveform samples (SUB 5A bulk stream) are NOT downloaded
here — they are large (several MB per event) and fetched separately.
include_waveforms is reserved for a future call.
Returns:
List of Event objects, one per stored waveform record.
Raises:
ProtocolError: on unrecoverable communication failure.
"""
proto = self._require_proto()
log.info("get_events: requesting first event (SUB 1E)")
try:
key4, _event_data8 = proto.read_event_first()
except ProtocolError as exc:
raise ProtocolError(f"get_events: 1E failed: {exc}") from exc
if key4 == b"\x00\x00\x00\x00":
log.info("get_events: device reports no stored events")
return []
events: list[Event] = []
idx = 0
is_first = True
while key4 != b"\x00\x00\x00\x00":
log.info(
"get_events: record %d key=%s", idx, key4.hex()
)
ev = Event(index=idx)
# First event: call 0A to verify it's a full record (0x30 length).
# Subsequent keys come from 1F(0xFE) which guarantees full records,
# so we skip 0A for those — exactly matching Blastware behaviour.
proceed = True
if is_first:
try:
_hdr, rec_len = proto.read_waveform_header(key4)
if rec_len < 0x30:
log.warning(
"get_events: first key=%s is partial (len=0x%02X) — skipping",
key4.hex(), rec_len,
)
proceed = False
except ProtocolError as exc:
log.warning(
"get_events: 0A failed for key=%s: %s — skipping 0C",
key4.hex(), exc,
)
proceed = False
is_first = False
if proceed:
# SUB 0C — full waveform record (peak values, project strings)
try:
record = proto.read_waveform_record(key4)
_decode_waveform_record_into(record, ev)
except ProtocolError as exc:
log.warning(
"get_events: 0C failed for key=%s: %s", key4.hex(), exc
)
events.append(ev)
idx += 1
# SUB 1F — advance to the next full waveform record key
try:
key4 = proto.advance_event()
except ProtocolError as exc:
log.warning("get_events: 1F failed: %s — stopping iteration", exc)
break
log.info("get_events: downloaded %d event(s)", len(events))
return events
# ── Internal helpers ──────────────────────────────────────────────────────
def _require_proto(self) -> MiniMateProtocol:
if self._proto is None:
raise RuntimeError("MiniMateClient is not connected. Call open() first.")
return self._proto
# ── Decoder functions ─────────────────────────────────────────────────────────
#
# Pure functions: bytes → model field population.
# Kept here (not in models.py) to isolate protocol knowledge from data shapes.
def _decode_serial_number(data: bytes) -> DeviceInfo:
"""
Decode SUB EA (SERIAL_NUMBER_RESPONSE) payload into a new DeviceInfo.
Layout (10 bytes total per §7.2):
bytes 07: serial string, null-terminated, null-padded ("BE18189\\x00")
byte 8: unit-specific trailing byte (purpose unknown ❓)
byte 9: firmware minor version (0x11 = 17) ✅
Returns:
New DeviceInfo with serial, firmware_minor, serial_trail_0 populated.
"""
if len(data) < 9:
# Short payload — gracefully degrade
serial = data.rstrip(b"\x00").decode("ascii", errors="replace")
return DeviceInfo(serial=serial, firmware_minor=0)
serial = data[:8].rstrip(b"\x00").decode("ascii", errors="replace")
trail_0 = data[8] if len(data) > 8 else None
fw_minor = data[9] if len(data) > 9 else 0
return DeviceInfo(
serial=serial,
firmware_minor=fw_minor,
serial_trail_0=trail_0,
)
def _decode_full_config_into(data: bytes, info: DeviceInfo) -> None:
"""
Decode SUB FE (FULL_CONFIG_RESPONSE) payload into an existing DeviceInfo.
The FE response arrives as a composite S3 outer frame whose data section
contains inner DLE-framed sub-frames. Because of this nesting the §7.3
fixed offsets (0x34, 0x3C, 0x44, 0x6D) are unreliable — they assume a
clean non-nested payload starting at byte 0.
Instead we search the whole byte array for known ASCII patterns. The
strings are long enough to be unique in any reasonable payload.
Modifies info in-place.
"""
def _extract(needle: bytes, max_len: int = 32) -> Optional[str]:
"""Return the null-terminated ASCII string that starts with *needle*."""
pos = data.find(needle)
if pos < 0:
return None
end = pos
while end < len(data) and data[end] != 0 and (end - pos) < max_len:
end += 1
s = data[pos:end].decode("ascii", errors="replace").strip()
return s or None
# ── Manufacturer and model are straightforward literal matches ────────────
info.manufacturer = _extract(b"Instantel")
info.model = _extract(b"MiniMate Plus")
# ── Firmware version: "S3xx.xx" — scan for the 'S3' prefix ───────────────
for i in range(len(data) - 5):
if data[i] == ord('S') and data[i + 1] == ord('3') and chr(data[i + 2]).isdigit():
end = i
while end < len(data) and data[end] not in (0, 0x20) and (end - i) < 12:
end += 1
candidate = data[i:end].decode("ascii", errors="replace").strip()
if "." in candidate and len(candidate) >= 5:
info.firmware_version = candidate
break
# ── DSP version: numeric "xx.xx" — search for known prefixes ─────────────
for prefix in (b"10.", b"11.", b"12.", b"9.", b"8."):
pos = data.find(prefix)
if pos < 0:
continue
end = pos
while end < len(data) and data[end] not in (0, 0x20) and (end - pos) < 8:
end += 1
candidate = data[pos:end].decode("ascii", errors="replace").strip()
# Accept only strings that look like "digits.digits"
if "." in candidate and all(c in "0123456789." for c in candidate):
info.dsp_version = candidate
break
def _decode_event_count(data: bytes) -> int:
"""
Extract stored event count from SUB F7 (EVENT_INDEX_RESPONSE) payload.
Layout per §7.4 (offsets from data section start):
+00: 00 58 09 — total index size or record count ❓
+03: 00 00 00 01 — possibly stored event count = 1 ❓
We use bytes +03..+06 interpreted as uint32 BE as the event count.
This is inferred (🔶) — the exact meaning of the first 3 bytes is unclear.
"""
if len(data) < 7:
log.warning("event index payload too short (%d bytes), assuming 0 events", len(data))
return 0
# Try the uint32 at +3 first
count = struct.unpack_from(">I", data, 3)[0]
# Sanity check: MiniMate Plus manual says max ~1000 events
if count > 1000:
log.warning(
"event count %d looks unreasonably large — clamping to 0", count
)
return 0
return count
def _decode_event_header_into(data: bytes, event: Event) -> None:
"""
Decode SUB E1 (EVENT_HEADER_RESPONSE) raw data section into an Event.
The waveform key is at data[11:15] (extracted separately in
MiniMateProtocol.read_event_first). The remaining 4 bytes at
data[15:19] are not yet decoded (❓ — possibly sample rate or flags).
Date information (year/month/day) lives in the waveform record (SUB 0C),
not in the 1E response. This function is a placeholder for any future
metadata we decode from the 8-byte 1E data block.
Modifies event in-place.
"""
# Nothing confirmed yet from the 8-byte data block beyond the key at [0:4].
# Leave event.timestamp as None — it will be populated from the 0C record.
pass
def _decode_waveform_record_into(data: bytes, event: Event) -> None:
"""
Decode a 210-byte SUB F3 (FULL_WAVEFORM_RECORD) record into an Event.
The *data* argument is the raw record bytes returned by
MiniMateProtocol.read_waveform_record() — i.e. data_rsp.data[11:11+0xD2].
Extracts:
- record_type: "Histogram" or "Waveform" (string search) 🔶
- peak_values: label-based float32 lookup (confirmed ✅)
- project_info: "Project:", "Client:", etc. string search ✅
Timestamp in the waveform record:
7-byte format: [0x09][year:2 BE][0x00][hour][minute][second]
Month and day come from a separate source (not yet fully mapped ❓).
For now we leave event.timestamp as None.
Modifies event in-place.
"""
# ── Record type ───────────────────────────────────────────────────────────
try:
event.record_type = _extract_record_type(data)
except Exception as exc:
log.warning("waveform record type decode failed: %s", exc)
# ── Peak values ───────────────────────────────────────────────────────────
try:
peak_values = _extract_peak_floats(data)
if peak_values:
event.peak_values = peak_values
except Exception as exc:
log.warning("waveform record peak decode failed: %s", exc)
# ── Project strings ───────────────────────────────────────────────────────
try:
project_info = _extract_project_strings(data)
if project_info:
event.project_info = project_info
except Exception as exc:
log.warning("waveform record project strings decode failed: %s", exc)
def _extract_record_type(data: bytes) -> Optional[str]:
"""
Search the waveform record for a record-type indicator string.
Confirmed types from 3-31-26 capture: "Histogram", "Waveform".
Returns the first match, or None if neither is found.
"""
for rtype in (b"Histogram", b"Waveform"):
if data.find(rtype) >= 0:
return rtype.decode()
return None
def _extract_peak_floats(data: bytes) -> Optional[PeakValues]:
"""
Locate per-channel peak particle velocity values in the 210-byte
waveform record by searching for the embedded channel label strings
("Tran", "Vert", "Long", "MicL") and reading the IEEE 754 BE float
at label_offset + 6.
The floats are NOT 4-byte aligned in the record (confirmed from
3-31-26 capture), so the previous step-4 scan missed Tran, Long, and
MicL entirely. Label-based lookup is the correct approach.
Channel labels are separated by inner-frame bytes (0x10 0x03 = DLE ETX),
which the S3FrameParser preserves as literal data. Searching for the
4-byte ASCII label strings is robust to this structure.
Returns PeakValues if at least one channel label is found, else None.
"""
# (label_bytes, field_name)
channels = (
(b"Tran", "tran"),
(b"Vert", "vert"),
(b"Long", "long_"),
(b"MicL", "micl"),
)
vals: dict[str, float] = {}
for label_bytes, field in channels:
pos = data.find(label_bytes)
if pos < 0:
continue
float_off = pos + 6
if float_off + 4 > len(data):
log.debug("peak float: label %s at %d but float runs past end", label_bytes, pos)
continue
try:
val = struct.unpack_from(">f", data, float_off)[0]
except struct.error:
continue
log.debug("peak float: %s at label+6 (%d) = %.6f", label_bytes.decode(), float_off, val)
vals[field] = val
if not vals:
return None
return PeakValues(
tran=vals.get("tran"),
vert=vals.get("vert"),
long=vals.get("long_"),
micl=vals.get("micl"),
)
def _extract_project_strings(data: bytes) -> Optional[ProjectInfo]:
"""
Search the waveform record payload for known ASCII label strings
("Project:", "Client:", "User Name:", "Seis Loc:", "Extended Notes")
and extract the associated value strings that follow them.
Layout (per §7.5): each entry is [label ~16 bytes][value ~32 bytes],
null-padded. We find the label, then read the next non-null chars.
"""
def _find_string_after(needle: bytes, max_value_len: int = 64) -> Optional[str]:
pos = data.find(needle)
if pos < 0:
return None
# Skip the label (including null padding) until we find a non-null value
# The value starts at pos+len(needle), but may have a gap of null bytes
value_start = pos + len(needle)
# Skip nulls
while value_start < len(data) and data[value_start] == 0:
value_start += 1
if value_start >= len(data):
return None
# Read until null terminator or max_value_len
end = value_start
while end < len(data) and data[end] != 0 and (end - value_start) < max_value_len:
end += 1
value = data[value_start:end].decode("ascii", errors="replace").strip()
return value or None
project = _find_string_after(b"Project:")
client = _find_string_after(b"Client:")
operator = _find_string_after(b"User Name:")
location = _find_string_after(b"Seis Loc:")
notes = _find_string_after(b"Extended Notes")
if not any([project, client, operator, location, notes]):
return None
return ProjectInfo(
project=project,
client=client,
operator=operator,
sensor_location=location,
notes=notes,
)