Release 0.0.5

Signed-off-by: Deepanshu Karnwal <deepanshu.k@hcl.com>
Change-Id: Ic1346f55cbb828f9d780f2564802883e2f5b36fe

diff --git a/.readthedocs.yaml b/.readthedocs.yaml
index 3797dc8..1257c3c 100644 (file)
--- a/.readthedocs.yaml
+++ b/.readthedocs.yaml
@@ -12,7 +12,7 @@ build:
   image: latest
 
 python:
-  version: 3.7
+  version: 3
   install:
     - requirements: docs/requirements-docs.txt
 

diff --git a/Dockerfile b/Dockerfile
index e7214c5..58df5f3 100644 (file)
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,5 +1,6 @@
 # ==================================================================================
-#       Copyright (c) 2020 AT&T Intellectual Property.
+#   Copyright (c) 2020 HCL Technologies Limited.    
+#   Copyright (c) 2020 AT&T Intellectual Property.
 #
 #   Licensed under the Apache License, Version 2.0 (the "License");
 #   you may not use this file except in compliance with the License.
@@ -13,7 +14,7 @@
 #   See the License for the specific language governing permissions and
 #   limitations under the License.
 # ==================================================================================
-FROM frolvlad/alpine-miniconda3
+FROM frolvlad/alpine-miniconda3:python3.7
 #FROM python:3.7-alpine
 # RMR setup
 RUN mkdir -p /opt/route/
@@ -25,16 +26,14 @@ ENV LD_LIBRARY_PATH /usr/local/lib/:/usr/local/lib64
 COPY tests/fixtures/local.rt /opt/route/local.rt
 ENV RMR_SEED_RT /opt/route/local.rt
 
-
 # sdl needs gcc
 RUN apk update && apk add gcc musl-dev
-
 # Install
 COPY setup.py /tmp
 COPY LICENSE.txt /tmp/
-COPY qp/ /qp
 RUN pip install /tmp
-
+RUN pip install --force-reinstall redis==3.0.1
+COPY src/ /src
 # Run
 ENV PYTHONUNBUFFERED 1
-CMD PYTHONPATH=/qp:/usr/lib/python3.7/site-packages/:$PYTHONPATH run-qp.py
+CMD PYTHONPATH=/src:/usr/lib/python3.7/site-packages/:$PYTHONPATH run-qp.py

diff --git a/Dockerfile-Unit-Test b/Dockerfile-Unit-Test
index 596ad36..af3a370 100644 (file)
--- a/Dockerfile-Unit-Test
+++ b/Dockerfile-Unit-Test
@@ -1,4 +1,5 @@
 # ==================================================================================
+#       Copyright (c) 2020 HCL Technologies Limited.
 #       Copyright (c) 2020 AT&T Intellectual Property.
 #
 #   Licensed under the Apache License, Version 2.0 (the "License");
@@ -13,7 +14,7 @@
 #   See the License for the specific language governing permissions and
 #   limitations under the License.
 # ==================================================================================
-FROM frolvlad/alpine-miniconda3
+FROM frolvlad/alpine-miniconda3:python3.7
 #FROM python:3.8-alpine
 
 # sdl uses hiredis which needs gcc
@@ -25,20 +26,12 @@ COPY --from=nexus3.o-ran-sc.org:10002/o-ran-sc/bldr-alpine3-rmr:4.0.5 /usr/local
 # Upgrade pip, install tox
 RUN pip install --upgrade pip && pip install tox
 
-# Install dependencies
-RUN conda install joblib
-RUN conda update -n base -c defaults conda
-RUN conda install pandas
-RUN pip install schedule
-RUN pip install influxdb
-RUN conda install -c conda-forge statsmodels
-
 # copies
 COPY setup.py tox.ini LICENSE.txt /tmp/
-COPY qp/ /tmp/qp
+COPY src/ /tmp/src
 COPY tests/ /tmp/tests
 RUN pip install /tmp
 
 # Run the unit tests
 WORKDIR /tmp
-RUN PYTHONPATH=/tmp/qp:/usr/lib/python3.7/site-packages/:$PYTHONPATH tox -e code,flake8
+RUN PYTHONPATH=/tmp/src:/usr/lib/python3.7/site-packages/:$PYTHONPATH tox -e code,flake8

diff --git a/container-tag.yaml b/container-tag.yaml
index a07f5af..90a4530 100644 (file)
--- a/container-tag.yaml
+++ b/container-tag.yaml
@@ -1,4 +1,4 @@
 # The Jenkins job uses this string for the tag in the image name
 # for example nexus3.o-ran-sc.org:10004/my-image-name:my-tag
 ---
-tag: 0.0.4
+tag: 0.0.5

diff --git a/docs/developers-guide.rst b/docs/developers-guide.rst
index 861336a..27a0296 100755 (executable)
--- a/docs/developers-guide.rst
+++ b/docs/developers-guide.rst
@@ -1,5 +1,6 @@
 .. This work is licensed under a Creative Commons Attribution 4.0 International License.
 .. SPDX-License-Identifier: CC-BY-4.0
+.. Copyright (c) 2020 HCL Technologies Limited.
 .. Copyright (C) 2020 AT&T Intellectual Property
 
 

diff --git a/docs/index.rst b/docs/index.rst
index a640a57..f7b8757 100644 (file)
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -1,5 +1,6 @@
 .. This work is licensed under a Creative Commons Attribution 4.0 International License.
 .. SPDX-License-Identifier: CC-BY-4.0
+.. Copyright (c) 2020 HCL Technologies Limited.
 .. Copyright (C) 2020 AT&T Intellectual Property
 
 

diff --git a/docs/release-notes.rst b/docs/release-notes.rst
index 196f5b1..567ea9d 100644 (file)
--- a/docs/release-notes.rst
+++ b/docs/release-notes.rst
@@ -1,5 +1,6 @@
 .. This work is licensed under a Creative Commons Attribution 4.0 International License.
 .. SPDX-License-Identifier: CC-BY-4.0
+.. Copyright (c) 2020 HCL Technologies Limited.
 .. Copyright (C) 2020 AT&T Intellectual Property
 
 Release Notes
@@ -10,6 +11,10 @@ All notable changes to this project will be documented in this file.
 The format is based on `Keep a Changelog <http://keepachangelog.com/>`__
 and this project adheres to `Semantic Versioning <http://semver.org/>`__.
 
+[0.0.5] - 2022-12-15
+--------------------
+* Database logic modification and improvements (`RICAPP-207 <https://jira.o-ran-sc.org/browse/RICAPP-207>`_)
+
 [0.0.4] - 2021-07-07
 --------------------
 * Removed QP Driver functionaity for QP, Incoming request from TS and Add actual protoype ML prediction code (`RICAPP-46 <https://jira.o-ran-sc.org/browse/RICAPP-46>`_)

diff --git a/insert.py b/insert.py
new file mode 100644 (file)
index 0000000..d42de6a
--- /dev/null
+++ b/insert.py
@@ -0,0 +1,66 @@
+# ==================================================================================
+#  Copyright (c) 2020 HCL Technologies Limited.
+#
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+# ==================================================================================
+
+"""
+This Module is temporary for pushing data into influxdb before dpeloyment of QP xApp. It will depreciated in future, when data will be coming through KPIMON
+"""
+
+import datetime
+import time
+import pandas as pd
+from src.database import DATABASE
+from configparser import ConfigParser
+
+
+class INSERTDATA(DATABASE):
+
+    def __init__(self):
+        super().__init__()
+        self.connect()
+
+    def createdb(self, dbname):
+        print("Create database: " + dbname)
+        self.client.create_database(dbname)
+        self.client.switch_database(dbname)
+
+    def dropdb(self, dbname):
+        print("DROP database: " + dbname)
+        self.client.drop_database(dbname)
+
+    def dropmeas(self, measname):
+        print("DROP MEASUREMENT: " + measname)
+        self.client.query('DROP MEASUREMENT '+measname)
+
+    def assign_timestamp(self, df):
+        steps = df['measTimeStampRf'].unique()
+        for timestamp in steps:
+            d = df[df['measTimeStampRf'] == timestamp]
+            d.index = pd.date_range(start=datetime.datetime.now(), freq='1ms', periods=len(d))
+            self.client.write_points(d, self.cellmeas)
+            time.sleep(0.4)
+
+
+def populatedb():
+    # inintiate connection and create database UEDATA
+    db = INSERTDATA()
+    df = pd.read_csv('src/cells.csv')
+    print("Writin data into influxDB")
+    while True:
+        db.assign_timestamp(df)
+
+
+if __name__ == "__main__":
+    populatedb()

diff --git a/qp/cell.json.gz b/qp/cell.json.gz
deleted file mode 100644 (file)
index bfe5736..0000000
Binary files a/qp/cell.json.gz and /dev/null differ

diff --git a/qp/database.py b/qp/database.py
deleted file mode 100644 (file)
index 42083ee..0000000
--- a/qp/database.py
+++ /dev/null
@@ -1,78 +0,0 @@
-# ==================================================================================
-#       Copyright (c) 2020 AT&T Intellectual Property.
-#       Copyright (c) 2020 HCL Technologies Limited.
-#
-#   Licensed under the Apache License, Version 2.0 (the "License");
-#   you may not use this file except in compliance with the License.
-#   You may obtain a copy of the License at
-#
-#          http://www.apache.org/licenses/LICENSE-2.0
-#
-#   Unless required by applicable law or agreed to in writing, software
-#   distributed under the License is distributed on an "AS IS" BASIS,
-#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-#   See the License for the specific language governing permissions and
-#   limitations under the License.
-# ==================================================================================
-from influxdb import DataFrameClient
-import pandas as pd
-import datetime
-
-
-class NoDataError(Exception):
-    pass
-
-
-class DATABASE(object):
-
-    def __init__(self, dbname, user='root', password='root', host='r4-influxdb.ricplt', port='8086'):
-        self.client = DataFrameClient(host, port, user, password, dbname)
-        self.data = None
-
-    def read_data(self, meas='ueMeasReport', limit=100000, cellid=False, ueid=False):
-        query = """select * from """ + meas
-
-        if cellid:
-            query += " where nrCellIdentity= '" + cellid + "'"
-
-        if ueid:
-            query += """ where "ue-id"  = \'{}\'""".format(ueid)
-        query += "  ORDER BY DESC LIMIT " + str(limit)
-        result = self.client.query(query)
-        try:
-            if len(result) != 0:
-                # print("Querying data : " + meas + " : size - " + str(len(result[meas])))
-                self.data = result[meas]
-                self.data['measTimeStampRf'] = self.data.index
-            else:
-                raise NoDataError
-
-        except NoDataError:
-            if cellid:
-                print('Data not found for ' + meas + ' CellID : '+cellid)
-            elif ueid:
-                print('Data not found for ' + meas + ' UEID : '+ueid)
-            else:
-                print('Data not found for ' + meas)
-            pass
-
-    def write_prediction(self, df, meas_name='QP'):
-        df.index = pd.date_range(start=datetime.datetime.now(), freq='10ms', periods=len(df))
-        self.client.write_points(df, meas_name)
-
-
-class DUMMY:
-
-    def __init__(self):
-        self.ue = pd.DataFrame([[1002, "c2/B13", 8, 69, 65, 113, 0.1, 0.1, "Waiting passenger 9", -882, -959, pd.to_datetime("2021-05-12T07:43:51.652")]], columns=["du-id", "nbCellIdentity", "prb_usage", "rsrp", "rsrq", "rssinr", "throughput", "targetTput", "ue-id", "x", "y", "measTimeStampRf"])
-        self.cell = pd.read_csv('qp/dummy.csv')
-        self.data = None
-
-    def read_data(self, meas='ueMeasReport', limit=100000, cellid=False, ueid=False):
-        if ueid:
-            self.data = self.ue.head(limit)
-        if cellid:
-            self.data = self.cell.head(limit)
-
-    def write_prediction(self, df, meas_name='QP'):
-        pass

diff --git a/qp/dummy.csv b/qp/dummy.csv
deleted file mode 100644 (file)
index 360ec06..0000000
--- a/qp/dummy.csv
+++ /dev/null
@@ -1,101 +0,0 @@
-availPrbDl,availPrbUl,du-id,measPeriodPdcpBytes,measPeriodPrb,measTimeStampRf,nrCellIdentity,pdcpBytesDl,pdcpBytesUl,throughput,x,y
-0,0,1002,10.0,10,2021-06-25T11:42:33.685,c2/B13,4.566447392558995,4.566447392558995,0.44594212817958906,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.695,c2/B13,4.566447392558995,4.566447392558995,0.44594212817958906,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.705,c2/B13,9.132362040900631,9.132362040900631,0.445890102377112,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.715,c2/B13,13.697743446574867,13.697743446574867,0.445838027897874,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.725,c2/B13,18.262591113423376,18.262591113423376,0.44578590496567405,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.735,c2/B13,22.826904547575328,22.826904547575328,0.445733733803901,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.745,c2/B13,27.39068325744312,27.39068325744312,0.445681514635526,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.755,c2/B13,31.953926753718125,31.953926753718125,0.445629247683106,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.765,c2/B13,36.51663454936642,36.51663454936642,0.44557693316877905,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.775,c2/B13,41.07880615962452,41.07880615962452,0.44552457131426704,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.785,c2/B13,45.64044110199503,45.64044110199503,0.44547216234087006,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.795,c2/B13,50.20153889624241,50.20153889624241,0.44541970646947004,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.805,c2/B13,54.76209906438861,54.76209906438861,0.44536720392052703,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.815,c2/B13,59.32212113070874,59.32212113070874,0.445314654914075,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.825,c2/B13,63.88160462172675,63.88160462172675,0.44526205966972804,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.835,c2/B13,68.4405490662111,68.4405490662111,0.44520941840667405,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.845,c2/B13,72.99895399517035,72.99895399517035,0.44515673134367606,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.855,c2/B13,77.55681894184882,77.55681894184882,0.445103998699068,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.865,c2/B13,82.11414344172219,82.11414344172219,0.44505122069075903,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.875,c2/B13,86.67092703249317,86.67092703249317,0.44499839753622805,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.885,c2/B13,91.22716925408702,91.22716925408702,0.444945529452523,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.895,c2/B13,95.78286964864716,95.78286964864716,0.44489261665626406,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.905,c2/B13,100.33802776053082,100.33802776053082,0.444839659363637,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.915,c2/B13,104.89264313630449,104.89264313630449,0.44478665779039706,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.925,c2/B13,109.4467153247396,109.4467153247396,0.444733612151866,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.935,c2/B13,114.000243876808,114.000243876808,0.444680522662929,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.945,c2/B13,118.55322834567752,118.55322834567752,0.44462738953803804,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.955,c2/B13,123.10566828670753,123.10566828670753,0.444574212991211,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.965,c2/B13,127.65756325744442,127.65756325744442,0.444520993236025,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.975,c2/B13,132.20891281761718,132.20891281761718,0.44446773048562105,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.985,c2/B13,136.75971652913285,136.75971652913285,0.44441442495270206,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:33.995,c2/B13,141.30997395607204,141.30997395607204,0.444361076849531,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.005,c2/B13,145.85968466468447,145.85968466468447,0.44430768638793205,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.015,c2/B13,150.40884822338438,150.40884822338438,0.444254253779288,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.025,c2/B13,154.95746420274605,154.95746420274605,0.44420077923453705,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.035,c2/B13,159.50553217549927,159.50553217549927,0.44414726296418106,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.045,c2/B13,164.0530517165248,164.0530517165248,0.444093705178273,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.055,c2/B13,168.60002240284982,168.60002240284982,0.444040106086426,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.065,c2/B13,173.14644381364334,173.14644381364334,0.44398646589780505,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.075,c2/B13,177.69231553021177,177.69231553021177,0.443932784821134,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.085,c2/B13,182.2376371359942,182.2376371359942,0.44387906306468805,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.095,c2/B13,186.78240821655785,186.78240821655785,0.443825300836296,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.105,c2/B13,191.32662835959366,191.32662835959366,0.44377149834334,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.115,c2/B13,195.87029715491147,195.87029715491147,0.443717655792755,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.125,c2/B13,200.4134141944356,200.4134141944356,0.443663773391027,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.135,c2/B13,204.95597907220014,204.95597907220014,0.443609851344193,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.145,c2/B13,209.4979913843444,209.4979913843444,0.44355588985783906,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.155,c2/B13,214.03945072910835,214.03945072910835,0.44350188913710303,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.165,c2/B13,218.58035670682787,218.58035670682787,0.44344784938667103,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.175,c2/B13,223.12070891993022,223.12070891993022,0.443393770810777,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.185,c2/B13,227.66050697292945,227.66050697292945,0.44333965361320404,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.195,c2/B13,232.19975047242164,232.19975047242164,0.443285497997283,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.205,c2/B13,236.73843902708037,236.73843902708037,0.443231304165891,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.215,c2/B13,241.27657224765204,241.27657224765204,0.44317707232145104,-832.0,-555.0
-0,0,1002,10.0,10,2021-06-25T11:42:34.225,c2/B13,245.81414974695122,245.81414974695122,0.443122802665933,-832.0,-555.0
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diff --git a/qp/insert.py b/qp/insert.py
deleted file mode 100644 (file)
index ee87711..0000000
--- a/qp/insert.py
+++ /dev/null
@@ -1,79 +0,0 @@
-# ==================================================================================
-#       Copyright (c) 2020 AT&T Intellectual Property.
-#       Copyright (c) 2020 HCL Technologies Limited.
-#
-#   Licensed under the Apache License, Version 2.0 (the "License");
-#   you may not use this file except in compliance with the License.
-#   You may obtain a copy of the License at
-#
-#          http://www.apache.org/licenses/LICENSE-2.0
-#
-#   Unless required by applicable law or agreed to in writing, software
-#   distributed under the License is distributed on an "AS IS" BASIS,
-#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-#   See the License for the specific language governing permissions and
-#   limitations under the License.
-# ==================================================================================
-"""
-
-This module is temporary which aims to populate cell data into influxDB. This will be depreciated once KPIMON push cell info. into influxDB.
-
-"""
-import pandas as pd
-from influxdb import DataFrameClient
-import datetime
-
-
-class INSERTDATA:
-
-    def __init__(self):
-        host = 'r4-influxdb.ricplt'
-        self.client = DataFrameClient(host, '8086', 'root', 'root')
-        self.switchdb('UEData')
-        self.dropmeas('QP')
-
-    def switchdb(self, dbname):
-        print("Switch database: " + dbname)
-        self.client.switch_database(dbname)
-
-    def dropmeas(self, measname):
-        print("DROP MEASUREMENT: " + measname)
-        self.client.query('DROP MEASUREMENT '+measname)
-
-
-def explode(df):
-    for col in df.columns:
-        if isinstance(df.iloc[0][col], list):
-            df = df.explode(col)
-        d = df[col].apply(pd.Series)
-        df[d.columns] = d
-        df = df.drop(col, axis=1)
-    return df
-
-
-def jsonToTable(df):
-    df.index = range(len(df))
-    cols = [col for col in df.columns if isinstance(df.iloc[0][col], dict) or isinstance(df.iloc[0][col], list)]
-    if len(cols) == 0:
-        return df
-    for col in cols:
-        d = explode(pd.DataFrame(df[col], columns=[col]))
-        d = d.dropna(axis=1, how='all')
-        df = pd.concat([df, d], axis=1)
-        df = df.drop(col, axis=1).dropna()
-    return jsonToTable(df)
-
-
-def time(df):
-    df.index = pd.date_range(start=datetime.datetime.now(), freq='10ms', periods=len(df))
-    df['measTimeStampRf'] = df['measTimeStampRf'].apply(lambda x: str(x))
-    return df
-
-
-def populatedb():
-    df = pd.read_json('qp/cell.json.gz', lines=True)
-    df = df[['cellMeasReport']].dropna()
-    df = jsonToTable(df)
-    df = time(df)
-    db = INSERTDATA()
-    db.client.write_points(df, 'liveCell', batch_size=500, protocol='line')

diff --git a/setup.py b/setup.py
index ad40696..1c1633a 100644 (file)
--- a/setup.py
+++ b/setup.py
@@ -17,12 +17,12 @@ from setuptools import setup, find_packages
 
 setup(
     name="qp",
-    version="0.0.4",
+    version="0.0.5",
     packages=find_packages(exclude=["tests.*", "tests"]),
     description="Quality-of-Service Predictor Xapp for Traffic Steering",
     url="https://gerrit.o-ran-sc.org/r/admin/repos/ric-app/qp",
-    install_requires=["ricxappframe>=1.1.1,<2.0.0", "joblib>=0.3.2", "statsmodels>=0.11.1", "mdclogpy<=1.1.1", "influxdb", "pandas"],
-    entry_points={"console_scripts": ["run-qp.py=qp.main:start"]},  # adds a magical entrypoint for Docker
+    install_requires=["ricxappframe>=1.1.1,<2.0.0", "joblib>=0.3.2", "statsmodels>=0.11.1", "mdclogpy<=1.1.1", "influxdb", "pandas>=1.1.3", "scikit-learn", "schedule", "joblib"],
+    entry_points={"console_scripts": ["run-qp.py=src.main:start"]},  # adds a magical entrypoint for Docker
     license="Apache 2.0",
     data_files=[("", ["LICENSE.txt"])],
 )

diff --git a/qp/__init__.py b/src/__init__.py
similarity index 100%
rename from qp/__init__.py
rename to src/__init__.py

diff --git a/src/cells.csv b/src/cells.csv
new file mode 100644 (file)
index 0000000..7b4d3f5
--- /dev/null
+++ b/src/cells.csv
@@ -0,0 +1,5001 @@
+du-id,measTimeStampRf,nrCellIdentity,throughput,x,y,availPrbDl,availPrbUl,measPeriodPrb,pdcpBytesUl,pdcpBytesDl,measPeriodPdcpBytes
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+1006,2021-06-11T05:40:33.690,c6/B13,0.392575835870876,0.0,1109.0,0,0,10,510.5398659564173,510.5398659564173,10.0
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+1011,2021-06-11T05:40:33.690,c11/B2,0.0,0.0,-2219.0,120,120,10,2.56,2.56,10.0
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+1002,2021-06-11T05:40:33.700,c2/B13,0.0,-832.0,-555.0,91,91,10,0.0,0.0,10.0
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+1003,2021-06-11T05:40:33.700,c3/B2,0.0,-139.0,-1109.0,120,120,10,0.0,0.0,10.0
+1003,2021-06-11T05:40:33.700,c3/B13,0.386118816335772,-139.0,-1109.0,0,0,10,506.0936549476242,506.0936549476242,10.0

diff --git a/src/database.py b/src/database.py
new file mode 100644 (file)
index 0000000..8520053
--- /dev/null
+++ b/src/database.py
@@ -0,0 +1,151 @@
+# ==================================================================================
+#       Copyright (c) 2020 AT&T Intellectual Property.
+#       Copyright (c) 2020 HCL Technologies Limited.
+#
+#   Licensed under the Apache License, Version 2.0 (the "License");
+#   you may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#          http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+# ==================================================================================
+from influxdb import DataFrameClient
+from configparser import ConfigParser
+from mdclogpy import Logger
+from src.exceptions import NoDataError
+from influxdb.exceptions import InfluxDBClientError, InfluxDBServerError
+from requests.exceptions import RequestException
+import pandas as pd
+import time
+
+logger = Logger(name=__name__)
+
+
+class DATABASE(object):
+
+    def __init__(self, dbname='Timeseries', user='root', password='root', host="r4-influxdb.ricplt", port='8086', path='', ssl=False):
+        self.host = host
+        self.port = port
+        self.user = user
+        self.password = password
+        self.path = path
+        self.ssl = ssl
+        self.dbname = dbname
+        self.data = None
+        self.client = None
+        self.config()
+
+    def connect(self):
+        if self.client is not None:
+            self.client.close()
+
+        try:
+            self.client = DataFrameClient(self.host, port=self.port, username=self.user, password=self.password, path=self.path, ssl=self.ssl, database=self.dbname, verify_ssl=self.ssl)
+            version = self.client.request('ping', expected_response_code=204).headers['X-Influxdb-Version']
+            logger.info("Conected to Influx Database, InfluxDB version : {}".format(version))
+            return True
+
+        except (RequestException, InfluxDBClientError, InfluxDBServerError, ConnectionError):
+            logger.error("Failed to establish a new connection with InflulxDB, Please check your url/hostname")
+            time.sleep(120)
+
+    def read_data(self, meas='ueMeasReport', limit=10000, cellid=False, ueid=False):
+
+        if cellid:
+            meas = self.cellmeas
+            param = self.cid
+            Id = cellid
+
+        if ueid:
+            meas = self.uemeas
+            param = self.ue
+            limit = 1
+            Id = ueid
+
+        query = """select * from {}""".format(meas)
+        query += """ where "{}" = \'{}\'""".format(param, Id)
+        query += "  ORDER BY DESC LIMIT {}".format(limit)
+        self.query(query, meas, Id)
+
+    def query(self, query, meas, Id=False):
+        try:
+            result = self.client.query(query)
+            if len(result) == 0:
+                raise NoDataError
+            else:
+                self.data = result[meas]
+
+        except (RequestException, InfluxDBClientError, InfluxDBServerError):
+            logger.error("Failed to connect to influxdb")
+
+        except NoDataError:
+            self.data = None
+            if Id:
+                logger.error("Data not found for " + Id + " in measurement: "+meas)
+            else:
+                logger.error("Data not found for " + meas)
+
+    def cells(self, meas='CellReports', limit=100):
+        meas = self.cellmeas
+        query = """select * from {}""".format(meas)
+        query += " ORDER BY DESC LIMIT {}".format(limit)
+        self.query(query, meas)
+        if self.data is not None:
+            return self.data[self.cid].unique()
+
+    def write_prediction(self, df, meas_name='QP'):
+        try:
+            self.client.write_points(df, meas_name)
+        except (RequestException, InfluxDBClientError, InfluxDBServerError):
+            logger.error("Failed to send metrics to influxdb")
+
+    def config(self):
+        cfg = ConfigParser()
+        cfg.read('src/qp_config.ini')
+        for section in cfg.sections():
+            if section == 'influxdb':
+                self.host = cfg.get(section, "host")
+                self.port = cfg.get(section, "port")
+                self.user = cfg.get(section, "user")
+                self.password = cfg.get(section, "password")
+                self.path = cfg.get(section, "path")
+                self.ssl = cfg.get(section, "ssl")
+                self.dbname = cfg.get(section, "database")
+                self.cellmeas = cfg.get(section, "cellmeas")
+                self.uemeas = cfg.get(section, "uemeas")
+
+            if section == 'features':
+                self.thptparam = [cfg.get(section, "thptUL"), cfg.get(section, "thptDL")]
+                self.nbcells = cfg.get(section, "nbcells")
+                self.servcell = cfg.get(section, "servcell")
+                self.ue = cfg.get(section, "ue")
+                self.cid = cfg.get(section, "cid")
+
+
+class DUMMY(DATABASE):
+
+    def __init__(self):
+        super().__init__()
+        self.ue_data = pd.DataFrame([[1002, "c2/B13", 8, 69, 65, 113, 0.1, 0.1, "Car-1", -882, -959, pd.to_datetime("2021-05-12T07:43:51.652")]], columns=["du-id", "RF.serving.Id", "prb_usage", "rsrp", "rsrq", "rssinr", "throughput", "targetTput", "ue-id", "x", "y", "measTimeStampRf"])
+
+        self.cell = pd.read_csv('src/cells.csv')
+
+    def read_data(self, meas='ueMeasReport', limit=100000, cellid=False, ueid=False):
+        if ueid:
+            self.data = self.ue_data.head(limit)
+        if cellid:
+            self.data = self.cell.head(limit)
+
+    def cells(self):
+        return self.cell[self.cid].unique()
+
+    def write_prediction(self, df, meas_name='QP'):
+        pass
+
+    def query(self, query=None):
+        return {'UEReports': self.ue_data.head(1)}

diff --git a/src/exceptions.py b/src/exceptions.py
new file mode 100644 (file)
index 0000000..7984e1d
--- /dev/null
+++ b/src/exceptions.py
@@ -0,0 +1,29 @@
+# ==================================================================================
+#  Copyright (c) 2020 HCL Technologies Limited.
+#
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+# ==================================================================================
+
+
+class Error(Exception):
+    """Base class for other exceptions"""
+    pass
+
+
+class NoDataError(BaseException):
+    """Raised when there is no data available in database for a given measurment"""
+    pass
+
+
+class DataNotMatchError(BaseException):
+    pass

diff --git a/qp/main.py b/src/main.py
similarity index 70%
rename from qp/main.py
rename to src/main.py
index 1c88a48..3ccf58a 100644 (file)
--- a/qp/main.py
+++ b/src/main.py
@@ -24,7 +24,6 @@ RMR Messages:
 sends out type 30002 which should be routed to TS.
 
 """
-import insert
 import os
 import json
 from mdclogpy import Logger
@@ -32,11 +31,14 @@ from ricxappframe.xapp_frame import RMRXapp, rmr
 from prediction import forecast
 from qptrain import train
 from database import DATABASE, DUMMY
+from exceptions import DataNotMatchError
 import warnings
+# import schedule
 warnings.filterwarnings("ignore")
 
 # pylint: disable=invalid-name
 qp_xapp = None
+db = None
 logger = Logger(name=__name__)
 
 
@@ -78,40 +80,49 @@ def cells(ue):
     """
         Extract neighbor cell id for a given UE
     """
-    db.read_data(meas='liveUE', limit=1, ueid=ue)
+    db.read_data(ueid=ue)
     df = db.data
-
-    nbc = df.filter(regex='nbCell').values[0].tolist()
-    srvc = df.filter(regex='nrCell').values[0].tolist()
-    return srvc+nbc
+    cells = []
+    if df is not None:
+        nbc = df.filter(regex=db.nbcells).values[0].tolist()
+        srvc = df.filter(regex=db.servcell).values[0].tolist()
+        cells = srvc+nbc
+    return cells
 
 
 def predict(payload):
     """
      Function that forecast the time series
     """
-    tp = {}
+    output = {}
     payload = json.loads(payload)
-    ueid = payload['UEPredictionSet'][0]
-
-    cell_list = cells(ueid)
-    for cid in cell_list:
-        mcid = cid.replace('/', '')
-        db.read_data(meas='liveCell', cellid=cid, limit=11)
-        if len(db.data) != 0:
-            inp = db.data
-
-            if not os.path.isfile('qp/' + mcid):
-                train(db, cid)
-
-            df_f = forecast(inp, mcid, 1)
-            if df_f is not None:
-                tp[cid] = df_f.values.tolist()[0]
-                df_f['cellid'] = cid
-                db.write_prediction(df_f)
-            else:
-                tp[cid] = [None, None]
-    return json.dumps({ueid: tp})
+    ue_list = payload['UEPredictionSet']
+    for ueid in ue_list:
+        tp = {}
+        cell_list = cells(ueid)
+        for cid in cell_list:
+            train_model(cid)
+            mcid = cid.replace('/', '')
+            db.read_data(cellid=cid, limit=101)
+            if db.data is not None and len(db.data) != 0:
+                try:
+                    inp = db.data[db.thptparam]
+                except DataNotMatchError:
+                    logger.debug("UL/DL parameters do not exist in provided data")
+                df_f = forecast(inp, mcid, 1)
+                if df_f is not None:
+                    tp[cid] = df_f.values.tolist()[0]
+                    df_f[db.cid] = cid
+                    db.write_prediction(df_f)
+                else:
+                    tp[cid] = [None, None]
+        output[ueid] = tp
+    return json.dumps(output)
+
+
+def train_model(cid):
+    if not os.path.isfile('src/'+cid):
+        train(db, cid)
 
 
 def start(thread=False):
@@ -122,18 +133,25 @@ def start(thread=False):
     """
     logger.debug("QP xApp starting")
     global qp_xapp
-    global db
-    if not thread:
-        insert.populatedb()   # temporory method to popuate db, it will be removed when data will be coming through KPIMON to influxDB
-        db = DATABASE('UEData')
-    else:
-        db = DUMMY()
+    connectdb(thread)
     fake_sdl = os.environ.get("USE_FAKE_SDL", None)
     qp_xapp = RMRXapp(qp_default_handler, rmr_port=4560, post_init=post_init, use_fake_sdl=bool(fake_sdl))
     qp_xapp.register_callback(qp_predict_handler, 30000)
     qp_xapp.run(thread)
 
 
+def connectdb(thread=False):
+    # Create a connection to InfluxDB if thread=True, otherwise it will create a dummy data instance
+    global db
+    if thread:
+        db = DUMMY()
+    else:
+        db = DATABASE()
+    success = False
+    while not success and not thread:
+        success = db.connect()
+
+
 def stop():
     """
     can only be called if thread=True when started

diff --git a/qp/prediction.py b/src/prediction.py
similarity index 62%
rename from qp/prediction.py
rename to src/prediction.py
index c861ca7..81c2733 100644 (file)
--- a/qp/prediction.py
+++ b/src/prediction.py
@@ -24,22 +24,17 @@ def forecast(data, cid, nobs=1):
     """
      forecast the time series using the saved model.
     """
-    data = data[['pdcpBytesUl', 'pdcpBytesDl']]
     ps = PROCESS(data.copy())
-    ps.make_stationary()
+    if ps.data is None:
+        return
+    data = ps.data
+    pred = data.tail(1).values
+    if os.path.isfile('src/'+cid) and not ps.constant():
+        model = joblib.load('src/'+cid)
+        pred = model.forecast(y=data.values, steps=nobs)
 
-    if not ps.valid():
-        df_f = data.tail(1)
-    elif os.path.isfile('qp/'+cid):
-        model = joblib.load('qp/'+cid)
-        pred = model.forecast(y=ps.data.values, steps=nobs)
-
-        if pred is not None:
-            df_f = pd.DataFrame(pred, columns=data.columns)
-            df_f.index = pd.date_range(start=data.index[-1], freq='10ms', periods=len(df_f))
-            df_f = df_f[data.columns].astype(int)
-            df_f = ps.invert_transformation(data, df_f)
-    else:
-        return None
-    df_f = df_f[data.columns].astype(int)
+    df_f = pd.DataFrame(pred, columns=data.columns)
+    df_f.index = pd.date_range(start=data.index[-1], freq='10ms', periods=len(df_f))
+    df_f = df_f[data.columns].fillna(0).astype(int)
+    df_f = ps.invert_transformation(data, df_f)
     return df_f

diff --git a/src/qp_config.ini b/src/qp_config.ini
new file mode 100644 (file)
index 0000000..b2053d8
--- /dev/null
+++ b/src/qp_config.ini
@@ -0,0 +1,19 @@
+[influxdb]
+#host = ricplt-influxdb.ricplt
+host = 10.244.0.21
+port = 8086
+user = admin
+password = IoyLfHwWmO
+path =
+database = RIC-Test
+uemeas = UEReports
+cellmeas = CellReports
+ssl = False
+
+[features]
+thptDL = pdcpBytesDl
+thptUL = pdcpBytesUl
+ue = ue-id
+nbcells = nbCell
+servcell = nrCell 
+cid = nrCellIdentity

diff --git a/qp/qptrain.py b/src/qptrain.py
similarity index 55%
rename from qp/qptrain.py
rename to src/qptrain.py
index 2071ac3..0ce3438 100644 (file)
--- a/qp/qptrain.py
+++ b/src/qptrain.py
@@ -16,11 +16,15 @@
 
 from statsmodels.tsa.api import VAR
 from statsmodels.tsa.stattools import adfuller
+from mdclogpy import Logger
+from exceptions import DataNotMatchError
+from sklearn.metrics import mean_squared_error
+from math import sqrt
 import joblib
+import warnings
+warnings.filterwarnings("ignore")
 
-
-class DataNotMatchError(Exception):
-    pass
+logger = Logger(name=__name__)
 
 
 class PROCESS(object):
@@ -29,6 +33,14 @@ class PROCESS(object):
         self.diff = 0
         self.data = data
 
+    def input_data(self):
+        try:
+            self.data = self.data[db.thptparam]
+            self.data = self.data.fillna(method='bfill')
+        except DataNotMatchError:
+            logger.error('Parameters Downlink throughput and Uplink throughput does not exist in provided data')
+            self.data = None
+
     def adfuller_test(self, series, thresh=0.05, verbose=False):
         """ADFuller test for Stationarity of given series and return True or False"""
         r = adfuller(series, autolag='AIC')
@@ -62,39 +74,68 @@ class PROCESS(object):
         return df
 
     def process(self):
-        """ Filter throughput parameters, call make_stationary() to check for Stationarity time series
-        """
-        df = self.data.copy()
-        try:
-            df = df[['pdcpBytesDl', 'pdcpBytesUl']]
-        except DataNotMatchError:
-            print('Parameters pdcpBytesDl, pdcpBytesUl does not exist in provided data')
-            self.data = None
-        self.data = df.loc[:, (df != 0).any(axis=0)]
+        self.input_data()
         self.make_stationary()  # check for Stationarity and make the Time Series Stationary
 
-    def valid(self):
-        val = False
-        if self.data is not None:
-            df = self.data.copy()
-            df = df.loc[:, (df != 0).any(axis=0)]
-            if len(df) != 0 and df.shape[1] == 2:
-                val = True
+    def constant(self):
+        val = True
+        df = self.data.copy()
+        df = df.drop_duplicates().dropna()
+        df = df.loc[:, (df != 0).any(axis=0)]
+        if len(df) >= 10:
+            val = False
         return val
 
+    def evaluate_var(self, X, lag):
+        # prepare training dataset
+        train_size = int(len(X) * 0.75)
+        train, test = X[0:train_size], X[train_size:]
+        # make predictions
+        model = VAR(train)
+        model_fit = model.fit(lag)
+        predictions = model_fit.forecast(y=train.values, steps=len(test))
+        # calculate out of sample error
+        rmse = sqrt(mean_squared_error(test, predictions))
+        return rmse
+
+    def optimize_lag(self, df):
+        lag = range(1, 20, 1)
+        df = df.astype('float32')
+        best_score, best_lag = float("inf"), None
+        for l in lag:
+            try:
+                rmse = self.evaluate_var(df, l)
+                if rmse < best_score:
+                    best_score, best_lag = rmse, l
+            except ValueError as v:
+                print(v)
+        # print('Best VAR%s RMSE=%.3f' % (best_lag, best_score))
+        return best_lag
+
 
-def train(db, cid):
+def train_cid(cid):
     """
      Read the input file(based on cell id received from the main program)
      call process() to forecast the downlink and uplink of the input cell id
      Make a VAR model, call the fit method with the desired lag order.
     """
-    db.read_data(meas='liveCell', cellid=cid)
+    # print(f'Training for {cid}')
+    db.read_data(cellid=cid, limit=4800)
     md = PROCESS(db.data)
-    md.process()
-    if md.valid():
+    if md.data is not None and not md.constant():
+        md.process()
+        lag = md.optimize_lag(md.data)
         model = VAR(md.data)          # Make a VAR model
-        model_fit = model.fit(10)            # call fit method with lag order
-        file_name = 'qp/'+cid.replace('/', '')
-        with open(file_name, 'wb') as f:
-            joblib.dump(model_fit, f)     # Save the model with the cell id name
+        try:
+            model_fit = model.fit(lag)            # call fit method with lag order
+            file_name = 'src/'+cid.replace('/', '')
+            with open(file_name, 'wb') as f:
+                joblib.dump(model_fit, f)     # Save the model with the cell id name
+        except ValueError as v:
+            print("****************************************", v)
+
+
+def train(database, cid):
+    global db
+    db = database
+    train_cid(cid)

diff --git a/tests/conftest.py b/tests/conftest.py
index 4c2e6c4..206c651 100644 (file)
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -27,3 +27,8 @@ def qp_prediction():
 @pytest.fixture
 def ts_to_qp():
     return '{"UEPredictionSet": ["Car-1"]}'
+
+
+@pytest.fixture
+def qp_train():
+    return "c6/B2"

diff --git a/tests/test_qp.py b/tests/test_qp.py
index 9473bc2..e4a0617 100644 (file)
--- a/tests/test_qp.py
+++ b/tests/test_qp.py
@@ -1,4 +1,5 @@
 # ==================================================================================
+#       Copyright (c) 2020 HCL Technologies Limited.
 #       Copyright (c) 2020 AT&T Intellectual Property.
 #
 #   Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,7 +17,7 @@
 import json
 import time
 from contextlib import suppress
-from qp import main
+from src import main
 from ricxappframe.xapp_frame import Xapp, RMRXapp
 
 mock_qp_xapp = None
@@ -37,12 +38,20 @@ def test_init_xapp(monkeypatch):
         self.predict_requests = 0
 
     # patch
-    monkeypatch.setattr("qp.main.post_init", fake_post_init)
+    monkeypatch.setattr("src.main.post_init", fake_post_init)
 
     # start qp
     main.start(thread=True)
 
 
+def test_database_connection(monkeypatch):
+    main.connectdb(thread=True)
+
+
+def test_training(monkeypatch, qp_train):
+    main.train_model(qp_train)
+
+
 def test_predict(monkeypatch, ts_to_qp):
     main.predict(ts_to_qp)
 

diff --git a/tox.ini b/tox.ini
index c6e9565..3f7ba0d 100644 (file)
--- a/tox.ini
+++ b/tox.ini
@@ -18,29 +18,29 @@ envlist = code,flake8,docs,docs-linkcheck
 minversion = 2.0
 
 [testenv:code]
-basepython = python3.7
+basepython = python3
 deps=
     pytest
     coverage
     pytest-cov
 setenv =
     LD_LIBRARY_PATH = /usr/local/lib/:/usr/local/lib64
-    PYTHONPATH = {toxinidir}:qp:/usr/lib/python3.7/site-packages/
+    PYTHONPATH = {toxinidir}:src:/usr/lib/python3.7/site-packages/
     RMR_SEED_RT = tests/fixtures/test_local.rt
     RMR_ASYNC_CONN = 0
     USE_FAKE_SDL = 1
 
 commands =
-    pytest -v --cov qp --cov-report xml --cov-report term-missing --cov-report html --cov-fail-under=60
+    pytest -v --cov src --cov-report xml --cov-report term-missing --cov-report html --cov-fail-under=60
     coverage xml -i
 
 [testenv:flake8]
-basepython = python3.7
+basepython = python3
 skip_install = true
 deps = flake8
 setenv =
-    PYTHONPATH = {toxinidir}:qp:/usr/lib/python3.7/site-packages/
-commands = flake8 setup.py qp tests
+    PYTHONPATH = {toxinidir}:src:/usr/lib/python3.7/site-packages/
+commands = flake8 setup.py src tests
 
 [flake8]
 extend-ignore = E501,E741,E731
@@ -54,7 +54,7 @@ commands = sh -c 'pip freeze > requirements.txt'
 [testenv:docs]
 whitelist_externals = echo
 skipsdist = true
-basepython = python3.7
+basepython = python3
 deps =
     sphinx
     sphinx-rtd-theme
@@ -67,7 +67,7 @@ commands =
 
 [testenv:docs-linkcheck]
 skipsdist = true
-basepython = python3.7
+basepython = python3
 deps = sphinx
        sphinx-rtd-theme
        sphinxcontrib-httpdomain

diff --git a/xapp-descriptor/config.json b/xapp-descriptor/config.json
index 0b29d2a..478559e 100644 (file)
--- a/xapp-descriptor/config.json
+++ b/xapp-descriptor/config.json
@@ -1,13 +1,13 @@
 {
         "xapp_name": "qp",
-        "version": "0.0.4",
+        "version": "0.0.5",
         "containers": [
             {
                 "name": "qp",
                 "image": {
                     "registry": "nexus3.o-ran-sc.org:10002",
                     "name": "o-ran-sc/ric-app-qp",
-                    "tag": "0.0.4"
+                    "tag": "0.0.5"
                 }
             }
         ],