diff --git a/README.md b/README.md index c9ea1c3..e30e92d 100644 --- a/README.md +++ b/README.md @@ -11,8 +11,8 @@ A tool to fetch results from EnergyPlus output files (`.sql` and `.eso` formats) - Filter variables by key, type, and units - Support for exact and substring (alike) matching - Filter results by date range -- Export results to CSV -- Zero runtime dependencies +- Export results to CSV (and optionally Parquet via the `parquet` extra) +- Zero runtime dependencies (the `parquet` extra adds `pyarrow`) ## DesignBuilder Compatibility @@ -176,6 +176,27 @@ results.to_csv( ) ``` +### Parquet (optional) + +Parquet is handy for object-storage workflows. It's an optional extension — +install the extra to enable it: + +```bash +pip install db-eplusout-reader[parquet] +``` + +```python +from db_eplusout_reader import get_results, to_parquet, read_parquet + +results = get_results(path, variables, frequency=M) + +# Write to Parquet (extra kwargs forwarded to pyarrow, e.g. compression) +to_parquet(results, r"C:\output.parquet", compression="snappy") + +# Read back into a ResultsDictionary (frequency, variables and time series preserved) +results = read_parquet(r"C:\output.parquet") +``` + ## Complete Example ```python diff --git a/db_eplusout_reader/__init__.py b/db_eplusout_reader/__init__.py index 6b13807..9934ee3 100644 --- a/db_eplusout_reader/__init__.py +++ b/db_eplusout_reader/__init__.py @@ -2,6 +2,7 @@ from db_eplusout_reader.db_esofile import DBEsoFile, DBEsoFileCollection from db_eplusout_reader.get_results import get_results +from db_eplusout_reader.parquet import read_parquet, to_parquet from db_eplusout_reader.processing.esofile_reader import Variable from db_eplusout_reader.sql_reader import ( get_all_variables, @@ -14,6 +15,8 @@ "DBEsoFileCollection", "get_results", "Variable", + "read_parquet", + "to_parquet", "get_tables", "get_variables", "get_all_variables", diff --git a/db_eplusout_reader/parquet.py b/db_eplusout_reader/parquet.py new file mode 100644 index 0000000..a230c2a --- /dev/null +++ b/db_eplusout_reader/parquet.py @@ -0,0 +1,138 @@ +"""Optional Parquet I/O for results dictionaries. + +Parquet is handy for object-storage workflows. Support is an optional +extension: install the extra to enable it:: + + pip install db-eplusout-reader[parquet] + +A results dictionary is stored as a columnar table with one column per +variable plus an optional ``timestamp`` column. The variable fields +(key, type, units) and the reporting frequency are preserved in Arrow +metadata so the table round-trips back into a ``ResultsDictionary``. +""" + +from db_eplusout_reader.processing.esofile_reader import Variable +from db_eplusout_reader.results_dict import ResultsDictionary + +try: + import pyarrow as pa + import pyarrow.parquet as pq +except ImportError: # pragma: no cover - exercised only without the extra + pa = None + pq = None + +_TIMESTAMP_COLUMN = "timestamp" +_ROLE_KEY = b"db_role" +_ROLE_TIMESTAMP = b"timestamp" +_ROLE_VARIABLE = b"variable" +_FREQUENCY_KEY = b"frequency" +_KEY_KEY = b"key" +_TYPE_KEY = b"type" +_UNITS_KEY = b"units" + + +def _require_pyarrow(): + if pa is None: + raise ImportError( + "Parquet support requires the optional 'parquet' extra. " + "Install it with: pip install db-eplusout-reader[parquet]" + ) + + +def _encode(value): + """Encode a (possibly None) variable field as bytes for Arrow metadata.""" + return (value if value is not None else "").encode("utf-8") + + +def to_parquet(results_dictionary, path, **kwargs): + """ + Save a results dictionary as a Parquet file. + + Parameters + ---------- + results_dictionary : ResultsDictionary + Results to store. Must contain at least one variable. + path : os.PathLike + Destination Parquet file path. + **kwargs + Additional keyword arguments forwarded to ``pyarrow.parquet.write_table`` + (e.g. ``compression``). + + Returns + ------- + None + + """ + _require_pyarrow() + fields = [] + columns = [] + + if results_dictionary.time_series: + fields.append( + pa.field( + _TIMESTAMP_COLUMN, + pa.timestamp("us"), + metadata={_ROLE_KEY: _ROLE_TIMESTAMP}, + ) + ) + columns.append(pa.array(results_dictionary.time_series, type=pa.timestamp("us"))) + + for variable, array in zip(results_dictionary.variables, results_dictionary.arrays): + metadata = { + _ROLE_KEY: _ROLE_VARIABLE, + _KEY_KEY: _encode(variable.key), + _TYPE_KEY: _encode(variable.type), + _UNITS_KEY: _encode(variable.units), + } + name = "{}|{}|{}".format(variable.key, variable.type, variable.units) + fields.append(pa.field(name, pa.float64(), metadata=metadata)) + columns.append(pa.array(array, type=pa.float64())) + + schema = pa.schema(fields, metadata={_FREQUENCY_KEY: _encode(results_dictionary.frequency)}) + pq.write_table(pa.table(columns, schema=schema), path, **kwargs) + + +def read_parquet(path): + """ + Read a results dictionary from a Parquet file written by ``to_parquet``. + + Parameters + ---------- + path : os.PathLike + Parquet file path. + + Returns + ------- + ResultsDictionary + Reconstructed results, including frequency and time series. + + """ + _require_pyarrow() + table = pq.read_table(path) + schema = table.schema + + frequency = "" + if schema.metadata and _FREQUENCY_KEY in schema.metadata: + frequency = schema.metadata[_FREQUENCY_KEY].decode("utf-8") + + results_dictionary = ResultsDictionary(frequency) + time_series = None + for i, field in enumerate(schema): + metadata = field.metadata or {} + role = metadata.get(_ROLE_KEY) + column = table.column(i).to_pylist() + is_timestamp = role == _ROLE_TIMESTAMP or ( + role is None and field.name == _TIMESTAMP_COLUMN + ) + if is_timestamp: + time_series = column + else: + variable = Variable( + metadata.get(_KEY_KEY, b"").decode("utf-8"), + metadata.get(_TYPE_KEY, b"").decode("utf-8"), + metadata.get(_UNITS_KEY, b"").decode("utf-8"), + ) + results_dictionary[variable] = column + + results_dictionary.time_series = time_series + return results_dictionary diff --git a/pyproject.toml b/pyproject.toml index aaccf12..170c642 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,6 +11,9 @@ license = { text = "MIT" } requires-python = ">=3.9" dependencies = [] +[project.optional-dependencies] +parquet = ["pyarrow>=14"] + [dependency-groups] dev = [ "eppy>=0.5.69", @@ -19,6 +22,7 @@ dev = [ "pre-commit>=3.6.1", "pytest>=8.0.0", "pytest-cov>=4.1.0", + "pyarrow>=14", ] [build-system] diff --git a/tests/test_parquet.py b/tests/test_parquet.py new file mode 100644 index 0000000..9175028 --- /dev/null +++ b/tests/test_parquet.py @@ -0,0 +1,77 @@ +"""Tests for the optional Parquet I/O extension. + +Skipped entirely when pyarrow (the 'parquet' extra) is not installed. +Covers round-tripping a ResultsDictionary to Parquet and back via the +to_parquet / read_parquet functions, including frequency, variables, +arrays and time series. +""" + +from datetime import datetime + +import pytest + +pytest.importorskip("pyarrow") + +from db_eplusout_reader import Variable, get_results, read_parquet, to_parquet +from db_eplusout_reader.constants import H +from db_eplusout_reader.results_dict import ResultsDictionary + +_DRYBULB = Variable("Environment", "Site Outdoor Air Drybulb Temperature", "C") + + +@pytest.fixture +def float_results(): + rd = ResultsDictionary(frequency=H) + rd.time_series = [datetime(2002, 1, 1, 1), datetime(2002, 1, 1, 2), datetime(2002, 1, 1, 3)] + rd[Variable("ZONE1", "Zone Mean Air Temperature", "C")] = [20.0, 21.0, 20.5] + rd[Variable("ZONE2", "Zone Mean Air Temperature", "C")] = [22.0, 23.0, 19.0] + return rd + + +class TestParquetRoundTrip: + def test_round_trip(self, float_results, tmp_path): + path = tmp_path / "results.parquet" + to_parquet(float_results, path) + loaded = read_parquet(path) + + assert loaded.frequency == float_results.frequency + assert loaded.variables == float_results.variables + assert loaded.arrays == float_results.arrays + assert loaded.time_series == float_results.time_series + + def test_round_trip_from_sql(self, sql_path, tmp_path): + rd = get_results(sql_path, _DRYBULB, frequency=H) + path = tmp_path / "sql.parquet" + to_parquet(rd, path) + loaded = read_parquet(path) + + assert loaded.frequency == rd.frequency + assert loaded.first_variable == _DRYBULB + assert loaded.first_array == rd.first_array + assert loaded.time_series == rd.time_series + + def test_round_trip_without_time_series(self, tmp_path): + rd = ResultsDictionary(frequency=H) + rd[_DRYBULB] = [1.0, 2.0, 3.0] + path = tmp_path / "no_time.parquet" + to_parquet(rd, path) + loaded = read_parquet(path) + + assert loaded.time_series is None + assert loaded[_DRYBULB] == [1.0, 2.0, 3.0] + + def test_duplicate_variables_preserved(self, tmp_path): + # variables with identical (key, type, units) must both survive + rd = ResultsDictionary(frequency=H) + same = Variable("ZONE1", "Zone Mean Air Temperature", "C") + rd[same] = [1.0, 2.0] + path = tmp_path / "dup.parquet" + to_parquet(rd, path) + loaded = read_parquet(path) + assert loaded[same] == [1.0, 2.0] + + def test_compression_kwarg_forwarded(self, float_results, tmp_path): + path = tmp_path / "compressed.parquet" + to_parquet(float_results, path, compression="gzip") # must not raise + loaded = read_parquet(path) + assert loaded.arrays == float_results.arrays diff --git a/uv.lock b/uv.lock index 4c1ad7e..31df45d 100644 --- a/uv.lock +++ b/uv.lock @@ -613,14 +613,22 @@ toml = [ [[package]] name = "db-eplusout-reader" -version = "0.4.0" +version = "0.5.0" source = { editable = "." } +[package.optional-dependencies] +parquet = [ + { name = "pyarrow", version = "21.0.0", source = { registry = "https://pypi.org/simple" }, 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