|
| 1 | +import json |
| 2 | +import typing as t |
| 3 | +from dataclasses import asdict |
| 4 | + |
| 5 | +if t.TYPE_CHECKING: |
| 6 | + from opendigger_pycli.datatypes import ( |
| 7 | + BaseData, |
| 8 | + BaseNetworkData, |
| 9 | + NameAndValue, |
| 10 | + NonTrivalNetworkInciatorData, |
| 11 | + NonTrivialIndicatorData, |
| 12 | + TrivialIndicatorData, |
| 13 | + TrivialNetworkIndicatorData, |
| 14 | + ) |
| 15 | + |
| 16 | + |
| 17 | +def export_trivial_network_to_json( |
| 18 | + indicator_data: "TrivialNetworkIndicatorData", |
| 19 | +) -> str: |
| 20 | + result = {} |
| 21 | + warmup = getattr(indicator_data.value, "nodes")[0] |
| 22 | + if hasattr(warmup, "tuple"): |
| 23 | + nodes: t.List[t.Tuple[str, float]] = [] |
| 24 | + edges: t.List[t.Tuple[str, str, float]] = [] |
| 25 | + base_network_data = t.cast("TrivialNetworkIndicatorData", indicator_data).value |
| 26 | + for node in base_network_data.nodes: |
| 27 | + nodes.append(node.tuple) |
| 28 | + for edge in base_network_data.edges: |
| 29 | + edges.append(edge.tuple) |
| 30 | + result = {"nodes": nodes, "edges": edges} |
| 31 | + else: |
| 32 | + result = asdict(indicator_data) |
| 33 | + |
| 34 | + return json.dumps(result, indent=2, sort_keys=True) |
| 35 | + |
| 36 | + |
| 37 | +def export_non_trivial_indicator_to_json( |
| 38 | + indicator_data: "NonTrivialIndicatorData", |
| 39 | +) -> str: |
| 40 | + result: t.Dict[str, t.Dict[str, t.Any]] = {} |
| 41 | + indicator_data = t.cast("NonTrivialIndicatorData", indicator_data) |
| 42 | + for key, values in indicator_data.value.items(): |
| 43 | + result[key] = {} |
| 44 | + for base_data in values: # type: ignore |
| 45 | + value = t.cast("BaseData", base_data) |
| 46 | + sub_key = ( |
| 47 | + f"{value.year}-{value.month:02}-raw" |
| 48 | + if value.is_raw |
| 49 | + else f"{value.year}-{value.month:02}" |
| 50 | + ) |
| 51 | + result[key][sub_key] = value.value # type: ignore |
| 52 | + return json.dumps(result, indent=2, sort_keys=True) |
| 53 | + |
| 54 | + |
| 55 | +def export_indicator_to_json( |
| 56 | + indicator_data: t.Union[ |
| 57 | + "TrivialIndicatorData", |
| 58 | + "NonTrivialIndicatorData", |
| 59 | + "TrivialNetworkIndicatorData", |
| 60 | + "NonTrivalNetworkInciatorData", |
| 61 | + ], |
| 62 | +) -> str: |
| 63 | + if hasattr(indicator_data.value, "nodes"): |
| 64 | + indicator_data = t.cast("TrivialNetworkIndicatorData", indicator_data) |
| 65 | + return export_trivial_network_to_json(indicator_data) |
| 66 | + |
| 67 | + if isinstance(indicator_data.value, dict): |
| 68 | + indicator_data = t.cast("NonTrivialIndicatorData", indicator_data) |
| 69 | + return export_non_trivial_indicator_to_json(indicator_data) |
| 70 | + |
| 71 | + values = t.cast("t.List", indicator_data.value) |
| 72 | + warmup = values[0] |
| 73 | + result: t.Dict[str, t.Any] = {} |
| 74 | + if hasattr(warmup.value, "nodes") or warmup.value is None: |
| 75 | + base_data_list = t.cast("t.List[BaseData[BaseNetworkData]]", values) |
| 76 | + for base_data in base_data_list: |
| 77 | + key = ( |
| 78 | + f"{base_data.year}-{base_data.month:02}-raw" |
| 79 | + if base_data.is_raw |
| 80 | + else f"{base_data.year}-{base_data.month:02}" |
| 81 | + ) |
| 82 | + result[key] = asdict(base_data.value) if base_data.value else None |
| 83 | + else: |
| 84 | + values = t.cast("t.List[BaseData]", values) |
| 85 | + for value in values: |
| 86 | + key = ( |
| 87 | + f"{value.year}-{value.month:02}-raw" |
| 88 | + if value.is_raw |
| 89 | + else f"{value.year}-{value.month:02}" |
| 90 | + ) |
| 91 | + if isinstance(value.value, list) and hasattr(value.value[0], "name"): |
| 92 | + value.value = t.cast("t.List[NameAndValue]", value.value) |
| 93 | + result[key] = [v.tuple for v in value.value] |
| 94 | + else: |
| 95 | + result[key] = value.value |
| 96 | + |
| 97 | + return json.dumps(result, indent=2, sort_keys=True) |
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