Dps Fetch Refactor #5: New dps fetch code (#1043)

* New dps fetch code

* typos and tweaks

* Update cognite/client/_api/datapoint_tasks.py

* forgot self arg...

* Fix insertion of DatapointsArray

* Make dps retrieve method kwargs only

* fstring fix

* Fix to avoid float dtype for count agg

cognite/client/_api/datapoint_constants.py

@@ -0,0 +1,87 @@
+from datetime import datetime
+from typing import Dict, Iterable, List, Optional, TypedDict, Union
+
+try:
+    import numpy as np
+    import numpy.typing as npt
+
+    NUMPY_IS_AVAILABLE = True
+except ImportError:  # pragma no cover
+    NUMPY_IS_AVAILABLE = False
+
+if NUMPY_IS_AVAILABLE:
+    NumpyDatetime64NSArray = npt.NDArray[np.datetime64]
+    NumpyInt64Array = npt.NDArray[np.int64]
+    NumpyFloat64Array = npt.NDArray[np.float64]
+    NumpyObjArray = npt.NDArray[np.object_]
+
+# Datapoints API-limits:
+DPS_LIMIT_AGG = 10_000
+DPS_LIMIT = 100_000
+POST_DPS_OBJECTS_LIMIT = 10_000
+FETCH_TS_LIMIT = 100
+RETRIEVE_LATEST_LIMIT = 100
+
+
+ALL_SORTED_DP_AGGS = sorted(
+    [
+        "average",
+        "max",
+        "min",
+        "count",
+        "sum",
+        "interpolation",
+        "step_interpolation",
+        "continuous_variance",
+        "discrete_variance",
+        "total_variation",
+    ]
+)
+
+
+class CustomDatapointsQuery(TypedDict, total=False):
+    # No field required
+    start: Union[int, str, datetime, None]
+    end: Union[int, str, datetime, None]
+    aggregates: Optional[List[str]]
+    granularity: Optional[str]
+    limit: Optional[int]
+    include_outside_points: Optional[bool]
+    ignore_unknown_ids: Optional[bool]
+
+
+class DatapointsQueryId(CustomDatapointsQuery):
+    id: int  # required field
+
+
+class DatapointsQueryExternalId(CustomDatapointsQuery):
+    external_id: str  # required field
+
+
+class CustomDatapoints(TypedDict, total=False):
+    # No field required
+    start: int
+    end: int
+    aggregates: Optional[List[str]]
+    granularity: Optional[str]
+    limit: int
+    include_outside_points: bool
+
+
+class DatapointsPayload(CustomDatapoints):
+    items: List[CustomDatapoints]
+
+
+DatapointsTypes = Union[int, float, str]
+
+
+class DatapointsFromAPI(TypedDict):
+    id: int
+    externalId: Optional[str]
+    isString: bool
+    isStep: bool
+    datapoints: List[Dict[str, DatapointsTypes]]
+
+
+DatapointsIdTypes = Union[int, DatapointsQueryId, Iterable[Union[int, DatapointsQueryId]]]
+DatapointsExternalIdTypes = Union[str, DatapointsQueryExternalId, Iterable[Union[str, DatapointsQueryExternalId]]]