diff --git a/docs/source/sg_execution_times.rst b/docs/source/sg_execution_times.rst index 4336b16..547035e 100644 --- a/docs/source/sg_execution_times.rst +++ b/docs/source/sg_execution_times.rst @@ -6,7 +6,7 @@ Computation times ================= -**00:36.744** total execution time for 11 files **from all galleries**: +**00:00.442** total execution time for 12 files **from all galleries**: .. container:: @@ -32,36 +32,39 @@ Computation times * - Example - Time - Mem (MB) - * - :ref:`sphx_glr_auto_examples_examples_04_block_model_02_create_block_model.py` (``..\..\examples\04_block_model\02_create_block_model.py``) - - 00:25.667 + * - :ref:`sphx_glr_auto_examples_examples_04_block_model_01_consuming_omf.py` (``..\..\examples\04_block_model\01_consuming_omf.py``) + - 00:00.442 - 0.0 - * - :ref:`sphx_glr_auto_examples_examples_04_block_model_03_load_block_model.py` (``..\..\examples\04_block_model\03_load_block_model.py``) - - 00:04.207 + * - :ref:`sphx_glr_auto_examples_examples_01_getting_started_01_create_sample.py` (``..\..\examples\01_getting_started\01_create_sample.py``) + - 00:00.000 - 0.0 - * - :ref:`sphx_glr_auto_examples_examples_01_getting_started_03_plot_demo.py` (``..\..\examples\01_getting_started\03_plot_demo.py``) - - 00:02.871 + * - :ref:`sphx_glr_auto_examples_examples_01_getting_started_02_math_operations.py` (``..\..\examples\01_getting_started\02_math_operations.py``) + - 00:00.000 - 0.0 - * - :ref:`sphx_glr_auto_examples_examples_03_flowsheet_01_flowsheet_basics.py` (``..\..\examples\03_flowsheet\01_flowsheet_basics.py``) - - 00:01.544 + * - :ref:`sphx_glr_auto_examples_examples_01_getting_started_03_plot_demo.py` (``..\..\examples\01_getting_started\03_plot_demo.py``) + - 00:00.000 - 0.0 * - :ref:`sphx_glr_auto_examples_examples_02_interval_sample_01_interval_sample.py` (``..\..\examples\02_interval_sample\01_interval_sample.py``) - - 00:00.961 - - 0.0 - * - :ref:`sphx_glr_auto_examples_examples_01_getting_started_02_math_operations.py` (``..\..\examples\01_getting_started\02_math_operations.py``) - - 00:00.608 + - 00:00.000 - 0.0 * - :ref:`sphx_glr_auto_examples_examples_02_interval_sample_02_interval_data_sink_float.py` (``..\..\examples\02_interval_sample\02_interval_data_sink_float.py``) - - 00:00.356 + - 00:00.000 - 0.0 - * - :ref:`sphx_glr_auto_examples_examples_01_getting_started_01_create_sample.py` (``..\..\examples\01_getting_started\01_create_sample.py``) - - 00:00.209 + * - :ref:`sphx_glr_auto_examples_examples_03_flowsheet_01_flowsheet_basics.py` (``..\..\examples\03_flowsheet\01_flowsheet_basics.py``) + - 00:00.000 - 0.0 - * - :ref:`sphx_glr_auto_examples_examples_04_block_model_01_consuming_omf.py` (``..\..\examples\04_block_model\01_consuming_omf.py``) - - 00:00.187 + * - :ref:`sphx_glr_auto_examples_examples_03_flowsheet_02_flowsheet_from_file.py` (``..\..\examples\03_flowsheet\02_flowsheet_from_file.py``) + - 00:00.000 - 0.0 - * - :ref:`sphx_glr_auto_examples_examples_06_map_01_mapping.py` (``..\..\examples\06_map\01_mapping.py``) - - 00:00.069 + * - :ref:`sphx_glr_auto_examples_examples_04_block_model_02_create_block_model.py` (``..\..\examples\04_block_model\02_create_block_model.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_auto_examples_examples_04_block_model_03_load_block_model.py` (``..\..\examples\04_block_model\03_load_block_model.py``) + - 00:00.000 - 0.0 * - :ref:`sphx_glr_auto_examples_examples_05_mass_balance_01_mass_balance.py` (``..\..\examples\05_mass_balance\01_mass_balance.py``) - - 00:00.065 + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_auto_examples_examples_06_map_01_mapping.py` (``..\..\examples\06_map\01_mapping.py``) + - 00:00.000 - 0.0 diff --git a/elphick/geomet/config/flowsheet_example.yaml b/elphick/geomet/config/flowsheet_example.yaml index 0ff0d00..0591669 100644 --- a/elphick/geomet/config/flowsheet_example.yaml +++ b/elphick/geomet/config/flowsheet_example.yaml @@ -1,26 +1,25 @@ FLOWSHEET: flowsheet: name: Flowsheet - streams: + streams: # graph edges Feed: - node_in: 0 - node_out: 1 + name: Feed + node_in: feed + node_out: screen Coarse: - node_in: 1 - node_out: 2 + name: Coarse + node_in: screen + node_out: lump Fine: - node_in: 1 - node_out: 3 - nodes: - 0: + name: Fine + node_in: screen + node_out: fines + operations: # graph nodes + feed: name: feed - subset: 0 - 1: + screen: name: screen - subset: 0 - 2: + lump: name: lump - subset: -1 - 3: + fines: name: fines - subset: 1 \ No newline at end of file diff --git a/elphick/geomet/flowsheet.py b/elphick/geomet/flowsheet.py index 0cdd9cf..3978d8e 100644 --- a/elphick/geomet/flowsheet.py +++ b/elphick/geomet/flowsheet.py @@ -1,4 +1,6 @@ +import json import logging +from pathlib import Path from typing import Dict, List, Optional, Tuple, Union, TypeVar import matplotlib @@ -8,6 +10,7 @@ import pandas as pd import plotly.graph_objects as go import seaborn as sns +import yaml from matplotlib import pyplot as plt from matplotlib.colors import ListedColormap, LinearSegmentedColormap from plotly.subplots import make_subplots @@ -104,6 +107,71 @@ def from_dataframe(cls, df: pd.DataFrame, name: Optional[str] = 'Flowsheet', streams: list[Sample] = streams_from_dataframe(df=df, mc_name_col=mc_name_col, n_jobs=n_jobs) return cls().from_objects(objects=streams, name=name) + @classmethod + def from_dict(cls, config: dict) -> FS: + """Create a flowsheet from a dictionary + + Args: + config: dictionary containing the flowsheet configuration + + Returns: + A Flowsheet object with no data on the edges + """ + if 'FLOWSHEET' not in config: + raise ValueError("Dictionary does not contain 'FLOWSHEET' root node") + + flowsheet_config = config['FLOWSHEET'] + + # create the Stream objects + bunch_of_edges: list = [] + for stream, stream_config in flowsheet_config['streams'].items(): + bunch_of_edges.append( + (stream_config['node_in'], stream_config['node_out'], {'mc': None, 'name': stream_config['name']})) + + graph = nx.DiGraph(name=flowsheet_config['flowsheet']['name']) + graph.add_edges_from(bunch_of_edges) + operation_objects: dict = {} + for node in graph.nodes: + operation_objects[node] = Operation(name=node) + nx.set_node_attributes(graph, operation_objects, 'mc') + + graph = nx.convert_node_labels_to_integers(graph) + + obj = cls() + obj.graph = graph + + return obj + + @classmethod + def from_yaml(cls, file_path: Path) -> FS: + """Create a flowsheet from yaml + + Args: + file_path: path to the yaml file + + Returns: + A Flowsheet object with no data on the edges + """ + with open(file_path, 'r') as file: + config = yaml.safe_load(file) + + return cls.from_dict(config) + + @classmethod + def from_json(cls, file_path: Path) -> FS: + """Create a flowsheet from json + + Args: + file_path: path to the json file + + Returns: + A Flowsheet object with no data on the edges + """ + with open(file_path, 'r') as file: + config = json.load(file) + + return cls.from_dict(config) + def solve(self): """Solve missing streams""" @@ -180,8 +248,8 @@ def plot(self, orientation: str = 'horizontal') -> plt.Figure: node_colors: List = [] for node1, node2, data in self.graph.edges(data=True): - edge_labels[(node1, node2)] = data['mc'].name - if data['mc'].status.ok: + edge_labels[(node1, node2)] = data['mc'].name if data['mc'] is not None else data['name'] + if data['mc'] and data['mc'].status.ok: edge_colors.append('gray') else: edge_colors.append('red') @@ -727,23 +795,25 @@ def set_node_names(self, node_names: Dict[int, str]): self.graph.nodes[node]['mc'].name = node_names[node] def set_stream_data(self, stream_data: dict[str, Optional[MC]]): - """Set the data (MassComposition) of network edges (streams) with a Dict - """ + """Set the data (MassComposition) of network edges (streams) with a Dict""" for stream_name, stream_data in stream_data.items(): stream_found = False + nodes_to_refresh = set() for u, v, data in self.graph.edges(data=True): - if ('mc' in data.keys()) and (data['mc'].name == stream_name): + if 'mc' in data.keys() and (data['mc'].name if data['mc'] is not None else data['name']) == stream_name: self._logger.info(f'Setting data on stream {stream_name}') data['mc'] = stream_data stream_found = True - # refresh the node status - for node in [u, v]: - self.graph.nodes[node]['mc'].inputs = [self.graph.get_edge_data(e[0], e[1])['mc'] for e in - self.graph.in_edges(node)] - self.graph.nodes[node]['mc'].outputs = [self.graph.get_edge_data(e[0], e[1])['mc'] for e in - self.graph.out_edges(node)] + nodes_to_refresh.update([u, v]) if not stream_found: self._logger.warning(f'Stream {stream_name} not found in graph') + else: + # refresh the node status + for node in nodes_to_refresh: + self.graph.nodes[node]['mc'].inputs = [self.graph.get_edge_data(e[0], e[1])['mc'] for e in + self.graph.in_edges(node)] + self.graph.nodes[node]['mc'].outputs = [self.graph.get_edge_data(e[0], e[1])['mc'] for e in + self.graph.out_edges(node)] def streams_to_dict(self) -> Dict[str, MC]: """Export the Stream objects to a Dict diff --git a/examples/03_flowsheet/02_flowsheet_from_file.py b/examples/03_flowsheet/02_flowsheet_from_file.py new file mode 100644 index 0000000..d9c398d --- /dev/null +++ b/examples/03_flowsheet/02_flowsheet_from_file.py @@ -0,0 +1,77 @@ +""" +Flowsheet from File +=================== + +It is possible to create a Flowsheet object from a file. This example demonstrates how to create a Flowsheet object +from a file. + +""" +from copy import deepcopy +from pathlib import Path +from typing import Dict + +import pandas as pd +from matplotlib import pyplot as plt + +from elphick.geomet import Stream, Flowsheet +from elphick.geomet.operation import OP, Operation +from elphick.geomet.utils.data import sample_data + +# %% +# +# YAML file +# --------- +# +# The yaml file needs to follow this structure. + +yaml_filepath: Path = Path('./../../elphick/geomet/config/flowsheet_example.yaml') +yaml_config: str = yaml_filepath.read_text() +yaml_config + +# %% +# Create Flowsheet +# ---------------- + +fs: Flowsheet = Flowsheet.from_yaml(yaml_filepath) +fs + +# %% +# The Flowsheet object can be visualized as a network. +# The streams are not yet populated, so are shown in red. +fs.plot() +plt + +# %% +# Load the data +# ------------- +# Load data onto two of the three streams. + +df_feed: pd.DataFrame = sample_data() +obj_feed: Stream = 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