Remove legacy code for format conversion
Deploy Solar Relay / deploy (push) Successful in 1m1s

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franzz committed 2026-11-02 23:59:33 +01:00
1 parent e1d22a26ed
commit 9e0230731b
10 files changed
+118 -223

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+1 -7
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@@ -40,9 +40,6 @@ def next_poll_at(now, interval):
def _run(config, store):
normalized = store.normalize_history()
if normalized:
LOG.info("Normalized %d recovered records to common power readings", normalized)
stop = threading.Event()
previous = {}
uploader = Uploader(config.upload, store) if config.upload.url else None
@@ -106,11 +103,10 @@ def _parser():
commands.add_parser("upload", help="Upload the pending queue, stopping on the first failure")
commands.add_parser("status", help="Show local archive/queue status without contacting the inverter")
commands.add_parser("prune", help="Delete expired whole local days after acknowledgement retention")
commands.add_parser("normalize-history", help="Backfill common power readings in previously recovered records")
for name, help_text in [
("export", "Export archived samples as JSON Lines, including already uploaded samples"),
("replay", "Requeue archived samples for upload, preserving their IDs"),
("recover", "Retrieve missing energy intervals from the authenticated Solar.web API"),
("recover", "Retrieve missing power samples from authenticated Solar.web charts"),
]:
command = commands.add_parser(name, help=help_text)
command.add_argument("--from", dest="from_date", help="Inclusive local date or ISO timestamp")
@@ -141,8 +137,6 @@ def main(argv=None):
print(json.dumps(store.status(), indent=2))
elif args.command == "prune":
print(json.dumps({"deleted": store.prune()}))
elif args.command == "normalize-history":
print(json.dumps({"normalized": store.normalize_history()}))
elif args.command == "recover":
if not config.history.enabled:
raise ValueError("Enable history and configure Solar.web account credentials before recovery")
+2 -6
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@@ -9,8 +9,6 @@ import tomllib
from urllib.parse import urlsplit
from zoneinfo import ZoneInfo
LEGACY_HISTORY_SETTINGS = {"access_key_id_env", "access_key_value_env", "lookback_days"}
def utc_text(value: datetime) -> str:
if value.tzinfo is None:
@@ -131,8 +129,7 @@ def load_config(path: Path) -> Config:
"inverter": set(InverterConfig.__dataclass_fields__),
"upload": set(UploadConfig.__dataclass_fields__),
"http": set(HttpConfig.__dataclass_fields__),
# Keep existing private configurations valid while using the full retention window.
"history": set(HistoryConfig.__dataclass_fields__) | LEGACY_HISTORY_SETTINGS,
"history": set(HistoryConfig.__dataclass_fields__),
}.items():
if not isinstance(data.get(section, {}), dict):
raise ValueError(f"{section} must be a table")
@@ -193,8 +190,7 @@ def load_config(path: Path) -> Config:
raise ValueError("http.base_path must be empty or a URL path without a trailing slash")
if isinstance(http.history_days, bool) or not isinstance(http.history_days, int) or not 1 <= http.history_days <= 90:
raise ValueError("http.history_days must be an integer between 1 and 90")
history = HistoryConfig(**{key: value for key, value in data.get("history", {}).items()
if key not in LEGACY_HISTORY_SETTINGS})
history = HistoryConfig(**data.get("history", {}))
if not isinstance(history.enabled, bool):
raise ValueError("history.enabled must be true or false")
if not isinstance(history.pv_system_id, str) or (history.pv_system_id and not re.fullmatch(r"[0-9a-fA-F]{8}(?:-[0-9a-fA-F]{4}){3}-[0-9a-fA-F]{12}", history.pv_system_id)):
-3
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@@ -24,9 +24,6 @@ def _finite(value):
def sample_coverage(sample):
observed = milliseconds(sample["observed_at"])
if "history_interval" in sample:
# Cloud history has interval energy, but no cumulative meter or relay history.
return (sample["id"], sample["source_id"], observed, observed, 1, observed, 0, observed, 0)
readings = sample.get("readings", {})
result = [sample["id"], sample["source_id"], observed]
for source, fields in [
+26 -87
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@@ -1,8 +1,4 @@
"""Optional signed-in Solar.web chart recovery of missing five-minute energy.
GEN24's local Solar API exposes no archive. Use the same private account login,
chart series and five-minute W-to-Wh conversion as the sibling solar website.
"""
"""Recover missing five-minute power samples from signed-in Solar.web charts."""
from datetime import datetime, timedelta, timezone
import logging
@@ -17,91 +13,33 @@ from .http import TransportError
from .solarweb import ChartDataError, SolarWebClient
LOG = logging.getLogger(__name__)
CHANNELS = {
"production": "EnergyProductionTotal", "consumption": "EnergyConsumptionTotal",
"self_consumption": "EnergySelfConsumptionTotal", "bought": "EnergyPurchased", "sold": "EnergyFeedIn",
}
def normalize_history_sample(sample):
"""Expose recovered power in the same fields as live samples, including old archives."""
if "history_interval" not in sample:
return sample
interval = sample["history_interval"]
if interval["duration_seconds"] != 300:
raise ValueError("Historical record is not a five-minute interval")
energy = interval["energy_wh"]
if any(isinstance(energy[field], bool) or not isinstance(energy[field], (int, float))
or not math.isfinite(energy[field]) or not 0 <= energy[field] <= 1e18 for field in CHANNELS):
raise ValueError("Historical energy is missing or invalid")
power = {field: energy[field] * 12 for field in CHANNELS}
chart = sample.get("raw", {}).get("solarweb_history", {}).get("chart_power_w")
if chart is not None:
# Retain the chart's original watts instead of a W -> Wh -> W round trip.
generated, consumed = chart["production"], chart["consumption"]
if any(isinstance(value, bool) or not isinstance(value, (int, float))
or not math.isfinite(value) or value < 0 for value in (generated, consumed)):
raise ValueError("Historical chart power is missing or invalid")
if not all(math.isclose(value, power[field]) for field, value in
(("production", generated), ("consumption", consumed))):
raise ValueError("Historical chart power disagrees with interval energy")
power = {"production": generated, "consumption": consumed,
"bought": max(0, consumed - generated), "sold": max(0, generated - consumed)}
return {
**sample, "poll_interval_seconds": 300,
"readings": {**sample["readings"],
"production_ac_w": power["production"], "consumption_w": power["consumption"],
"grid_w": power["bought"] - power["sold"],
"grid_import_w": power["bought"], "grid_export_w": power["sold"]},
"source_timestamps": {**sample.get("source_timestamps", {}), "powerflow": sample["observed_at"]},
}
def history_sample(entry, source_id, system_id):
stamp = milliseconds(entry["logDateTime"])
if stamp % 300_000 or entry.get("logDuration") != 300:
raise ValueError("Historical record is not an aligned five-minute interval")
channels = {}
for channel in entry["channels"]:
name, value = channel.get("channelName"), channel.get("value")
if name not in CHANNELS.values():
continue
if name in channels or channel.get("unit") != "Wh" or channel.get("channelType") != "Energy":
raise ValueError("Unexpected historical channel metadata")
if isinstance(value, bool) or not isinstance(value, (int, float)) or not math.isfinite(value) or not 0 <= value <= 1e18:
raise ValueError("Historical energy is missing or invalid")
channels[name] = value
energy = {field: channels[name] for field, name in CHANNELS.items()}
def history_sample(stamp, generated, consumed, source_id, system_id):
"""Store paired chart watts in the same readings as a live power snapshot."""
if isinstance(stamp, bool) or not isinstance(stamp, int) or stamp % 300_000:
raise ValueError("Historical record is not an aligned five-minute sample")
if any(isinstance(value, bool) or not isinstance(value, (int, float))
or not math.isfinite(value) or not 0 <= value <= 1e18 for value in (generated, consumed)):
raise ValueError("Historical chart power is missing or invalid")
when = utc_text(datetime.fromtimestamp(stamp / 1000, timezone.utc))
return normalize_history_sample({
grid = consumed - generated
return {
"schema_version": 1,
# Preserve IDs of intervals already recovered with the former Query API.
# This immutable UUID name is part of the record ID format, never a request URL.
"id": str(uuid5(NAMESPACE_URL, f"https://swqapi.solarweb.com/{system_id}/{source_id}/{when}")),
"source_id": source_id, "observed_at": when,
"readings": dict.fromkeys([
"production_w", "production_ac_w", "consumption_w", "grid_w", "grid_import_w", "grid_export_w",
"production_ac_total_wh", "grid_import_total_wh", "grid_export_total_wh", "boiler_enabled", "boiler_reason",
]),
"source_timestamps": {},
"errors": {"meter": "Cumulative meter readings are unavailable in recovered energy intervals",
"source_id": source_id, "observed_at": when, "poll_interval_seconds": 300,
"readings": {
"production_w": None, "production_ac_w": generated, "consumption_w": consumed,
"grid_w": grid, "grid_import_w": max(0, grid), "grid_export_w": max(0, -grid),
"production_ac_total_wh": None, "grid_import_total_wh": None, "grid_export_total_wh": None,
"boiler_enabled": None, "boiler_reason": None,
},
"source_timestamps": {"powerflow": when},
"errors": {"meter": "Cumulative meter readings are unavailable in recovered chart samples",
"boiler": "Historical boiler switch state is unavailable"},
"raw": {"solarweb_history": entry},
"history_interval": {"provider": "fronius-solarweb", "start": when, "duration_seconds": 300, "energy_wh": energy},
})
def chart_entries(production, consumption):
"""Pair real chart samples; assume constant W over five minutes, as solar does."""
for stamp in sorted(production.keys() & consumption.keys()):
generated, consumed = production[stamp], consumption[stamp]
values = {"production": generated / 12, "consumption": consumed / 12,
"self_consumption": min(generated, consumed) / 12,
"bought": max(0, consumed - generated) / 12, "sold": max(0, generated - consumed) / 12}
yield {"logDateTime": utc_text(datetime.fromtimestamp(stamp / 1000, timezone.utc)), "logDuration": 300,
"channels": [{"channelName": name, "channelType": "Energy", "unit": "Wh", "value": values[field]}
for field, name in CHANNELS.items()],
"chart_power_w": {"production": generated, "consumption": consumed},
"energy_method": "constant_power_over_five_minutes"}
"raw": {"solarweb_history": {"chart_power_w": {"production": generated, "consumption": consumed}}},
}
class HistoryRecovery:
@@ -158,11 +96,12 @@ class HistoryRecovery:
# A day with no usable cloud data must not block recovery of newer gaps.
LOG.warning("Solar.web chart data unavailable for %s; leaving its gaps for the next check", day)
continue
for entry in chart_entries(production, consumption):
epoch = milliseconds(entry["logDateTime"]) // 1000
for stamp in sorted(production.keys() & consumption.keys()):
epoch = stamp // 1000
if epoch not in missing or datetime.fromtimestamp(epoch, self.zone).date() != day:
continue
sample = history_sample(entry, self.source_id, self.config.pv_system_id)
sample = history_sample(stamp, production[stamp], consumption[stamp],
self.source_id, self.config.pv_system_id)
self.store.add(sample)
missing.remove(epoch)
recovered += 1
+8 -28
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@@ -20,7 +20,6 @@ import pyarrow.parquet as pq
from .config import retention_cutoff, utc_text
from .coverage import daily_coverage, milliseconds, sample_coverage
from .history import normalize_history_sample
NUMBERS = (
"production_w", "production_ac_w", "consumption_w", "grid_w",
@@ -34,7 +33,6 @@ SCHEMA = pa.schema([
*((field, pa.float64()) for field in NUMBERS),
("boiler_enabled", pa.bool_()), ("boiler_reason", pa.string()),
("record_kind", pa.string()),
("interval_energy_wh", pa.struct([(field, pa.float64()) for field in ("production", "consumption", "self_consumption", "bought", "sold")])),
("power_ms", pa.int64()), ("power_ok", pa.bool_()),
("meter_ms", pa.int64()), ("meter_ok", pa.bool_()),
("boiler_ms", pa.int64()), ("boiler_ok", pa.bool_()),
@@ -82,9 +80,13 @@ class Store:
if not path.exists():
return []
parquet = pq.ParquetFile(path, page_checksum_verification=True)
if not parquet.schema_arrow.equals(SCHEMA, check_metadata=True):
schema = parquet.schema_arrow
# Validate the fields this version uses; read only those columns.
if schema.metadata != SCHEMA.metadata or any(
schema.get_field_index(field.name) < 0 or schema.field(field.name) != field for field in SCHEMA
):
raise StoreError("Unsupported Parquet archive schema")
return parquet.read(columns=columns).to_pylist()
return parquet.read(columns=SCHEMA.names if columns is None else columns).to_pylist()
@staticmethod
def _sync_directory(path):
@@ -125,8 +127,7 @@ class Store:
"payload": json.dumps(sample, allow_nan=False, separators=(",", ":")),
**{name: readings.get(name) for name in NUMBERS},
"boiler_enabled": readings.get("boiler_enabled"), "boiler_reason": readings.get("boiler_reason"),
"record_kind": "history" if "history_interval" in sample else "live",
"interval_energy_wh": sample.get("history_interval", {}).get("energy_wh"),
"record_kind": "history" if "solarweb_history" in sample.get("raw", {}) else "live",
**{name: bool(value) if name.endswith("_ok") else value
for name, value in zip(COVERAGE_COLUMNS[1:], coverage[3:])},
}
@@ -137,32 +138,11 @@ class Store:
rows = self._read(path)
for existing in rows:
if existing["id"] == row["id"]:
if normalize_history_sample(json.loads(existing["payload"])) != normalize_history_sample(sample):
if json.loads(existing["payload"]) != sample:
raise StoreError("Sample ID already contains different data")
return
self._write(path, [*rows, row])
def normalize_history(self):
"""Backfill common power columns and queued payloads without changing IDs or acknowledgements."""
changed = 0
with self._locked(write=True):
for path in self._files():
rows = self._read(path)
dirty = False
for index, row in enumerate(rows):
if row["record_kind"] != "history":
continue
sample = json.loads(row["payload"])
normalized = normalize_history_sample(sample)
if normalized == sample:
continue
rows[index] = {**self._row(normalized, row["uploaded_at"]), "recorded_ns": row["recorded_ns"]}
changed += 1
dirty = True
if dirty:
self._write(path, rows)
return changed
def pending(self, limit):
with self._locked():
rows = []