feat: supports numpy types in serialization to Line protocol (#306)

CHANGELOG.md

@@ -4,6 +4,7 @@
 1. [#281](https://github.com/influxdata/influxdb-client-python/pull/281): `FluxTable`, `FluxColumn` and `FluxRecord` objects have helpful reprs
 1. [#293](https://github.com/influxdata/influxdb-client-python/pull/293): `dataframe_serializer` supports batching
 1. [#301](https://github.com/influxdata/influxdb-client-python/pull/301): Add `proxy_headers` to configuration options
+1. [#306](https://github.com/influxdata/influxdb-client-python/pull/306): Supports `numpy` type in serialization to Line protocol
 
 ### Documentation
 1. [#301](https://github.com/influxdata/influxdb-client-python/pull/301): How to configure proxy

influxdb_client/client/write/point.py

@@ -39,6 +39,13 @@
     '\\': r'\\',
 })
 
+try:
+    import numpy as np
+
+    _HAS_NUMPY = True
+except ModuleNotFoundError:
+    _HAS_NUMPY = False
+
 
 class Point(object):
     """
@@ -145,7 +152,7 @@ def _append_fields(fields):
         if value is None:
             continue
 
-        if isinstance(value, float) or isinstance(value, Decimal):
+        if isinstance(value, float) or isinstance(value, Decimal) or _np_is_subtype(value, 'float'):
             if not math.isfinite(value):
                 continue
             s = str(value)
@@ -156,7 +163,7 @@ def _append_fields(fields):
             if s.endswith('.0'):
                 s = s[:-2]
             _return.append(f'{_escape_key(field)}={s}')
-        elif isinstance(value, int) and not isinstance(value, bool):
+        elif (isinstance(value, int) or _np_is_subtype(value, 'int')) and not isinstance(value, bool):
             _return.append(f'{_escape_key(field)}={str(value)}i')
         elif isinstance(value, bool):
             _return.append(f'{_escape_key(field)}={str(value).lower()}')
@@ -216,3 +223,14 @@ def _convert_timestamp(timestamp, precision=DEFAULT_WRITE_PRECISION):
             return ns / 1e9
 
     raise ValueError(timestamp)
+
+
+def _np_is_subtype(value, np_type):
+    if not _HAS_NUMPY or not hasattr(value, 'dtype'):
+        return False
+
+    if np_type == 'float':
+        return np.issubdtype(value, np.floating)
+    elif np_type == 'int':
+        return np.issubdtype(value, np.integer)
+    return False

tests/test_point.py

@@ -388,6 +388,26 @@ def test_backslash(self):
             "test,tag1=value1,tag2=value\2,tag3=value\\3,tag4=value\\4,tag5=value\\\\5 value=10i 1624989000000000000",
             point.to_line_protocol())
 
+    def test_numpy_types(self):
+        from influxdb_client.extras import np
+
+        point = Point.measurement("h2o")\
+            .tag("location", "europe")\
+            .field("np.float1", np.float(1.123))\
+            .field("np.float2", np.float16(2.123))\
+            .field("np.float3", np.float32(3.123))\
+            .field("np.float4", np.float64(4.123))\
+            .field("np.int1", np.int8(1))\
+            .field("np.int2", np.int16(2))\
+            .field("np.int3", np.int32(3))\
+            .field("np.int4", np.int64(4))\
+            .field("np.uint1", np.uint8(5))\
+            .field("np.uint2", np.uint16(6))\
+            .field("np.uint3", np.uint32(7))\
+            .field("np.uint4", np.uint64(8))
+
+        self.assertEqual("h2o,location=europe np.float1=1.123,np.float2=2.123,np.float3=3.123,np.float4=4.123,np.int1=1i,np.int2=2i,np.int3=3i,np.int4=4i,np.uint1=5i,np.uint2=6i,np.uint3=7i,np.uint4=8i", point.to_line_protocol())
+
 
 if __name__ == '__main__':
     unittest.main()