Improve connection towards Azure

datareservoirio/storage/storage.py

@@ -15,6 +15,14 @@
 
 log = logging.getLogger(__name__)
 
+_BLOBSTORAGE_SESSION = requests.Session()
+_BLOBSTORAGE_SESSION.mount(
+    "https://",
+    requests.adapters.HTTPAdapter(
+        max_retries=requests.adapters.Retry(total=5, backoff_factor=0.4, backoff_max=10)
+    ),
+)
+
 
 def _encode_for_path_safety(value):
     return str(base64.urlsafe_b64encode(str(value).encode()).decode())
@@ -276,7 +284,7 @@ def _evict_from_cache(self):
             )
 
 
-def _blob_to_df(blob_url):
+def _blob_to_df(blob_url, session=_BLOBSTORAGE_SESSION):
     """
     Download blob from remote storage and present as a Pandas Series.
 
@@ -285,6 +293,8 @@ def _blob_to_df(blob_url):
     blob_url : str
         Fully formated URL to the blob. Must contain all the required parameters
         in the URL.
+    session : requests.Session, default _BLOBSTORAGE_SESSION
+        Session object to make HTTP calls.
 
     Return
     ------
@@ -293,19 +303,15 @@ def _blob_to_df(blob_url):
         (``Int64``) and column ``values`` are ``str`` or ``float64``.
     """
 
-    with requests.Session() as session:
-        retries = requests.adapters.Retry(total=5, backoff_factor=0.4, backoff_max=10)
-        session.mount("https://", requests.adapters.HTTPAdapter(max_retries=retries))
-        response = session.request(method="get", url=blob_url, timeout=30, stream=True)
-        response.raise_for_status()
-
-        response.encoding = "utf-8"  # enforce encoding
+    response = session.request(method="get", url=blob_url, timeout=30, stream=True)
+    response.raise_for_status()
+    response.encoding = "utf-8"  # enforce encoding
 
-        content = [
-            line.split(",", maxsplit=1)
-            for line in response.iter_lines(decode_unicode=True)
-            if line
-        ]
+    content = [
+        line.split(",", maxsplit=1)
+        for line in response.iter_lines(decode_unicode=True)
+        if line
+    ]
 
     df = (
         pd.DataFrame(content, columns=("index", "values"), copy=False)
@@ -316,7 +322,7 @@ def _blob_to_df(blob_url):
     return df
 
 
-def _df_to_blob(df, blob_url):
+def _df_to_blob(df, blob_url, session=_BLOBSTORAGE_SESSION):
     """
     Upload a Pandas Dataframe as blob to a remote storage.
 
@@ -328,6 +334,9 @@ def _df_to_blob(df, blob_url):
     df : pandas.DataFrame
         Pandas DataFrame where column ``index`` is nano-seconds since epoch
         (``Int64``) and column ``values`` are ``str`` or ``float64``.
+    session : requests.Session, default _BLOBSTORAGE_SESSION
+        Session object to make HTTP calls.
+
     """
     if not isinstance(df, pd.DataFrame):
         raise ValueError
@@ -340,18 +349,11 @@ def _df_to_blob(df, blob_url):
             df.to_csv(fp, line_terminator="\n", **kwargs)
         fp.seek(0)
 
-        with requests.Session() as session:
-            retries = requests.adapters.Retry(
-                total=5, backoff_factor=0.4, backoff_max=10
-            )
-            session.mount(
-                "https://", requests.adapters.HTTPAdapter(max_retries=retries)
-            )
-            session.request(
-                method="put",
-                url=blob_url,
-                headers={"x-ms-blob-type": "BlockBlob"},
-                data=fp,
-                timeout=(30, None),
-            ).raise_for_status()
+        session.request(
+            method="put",
+            url=blob_url,
+            headers={"x-ms-blob-type": "BlockBlob"},
+            data=fp,
+            timeout=(30, None),
+        ).raise_for_status()
     return