try another kaniko builder

.gitea/workflows/build-push-container.yaml

@@ -0,0 +1,24 @@
+---
+name: Build and push container
+run-name: Container creation
+# change later for only tags
+on: [push]
+jobs:
+  Container-Build:
+    runs-on: ubuntu-latest
+    steps:
+    - name: Get the code
+      uses: actions/checkout@v4
+      with:
+        sparse-checkout: |
+          src
+
+    - name: Build & push image ${{ gitea.ref }}
+      uses: bymarshall/kaniko-action@main
+      with:
+        image: ha-addon-energa-meter
+        tag: ${{ gitea.ref }}
+        registry: pipebreaker.pl:5000
+        file: Containerfile
+        context: src/
+        debug_mode: true

.gitea/workflows/demo.yaml.disabled

@@ -0,0 +1,22 @@
+name: Gitea Actions Demo
+run-name: ${{ gitea.actor }} is testing out GA 🍆
+on: [push]
+jobs:
+  Explore-Gitea-Actions:
+    runs-on: ubuntu-latest
+    steps:
+      - run: echo "🎉 The job was automatically triggered by a ${{ gitea.event_name }} event."
+      - run: echo "🐧 This job is now running on a ${{ runner.os }} server hosted by Gitea!"
+      - run: echo "🔎 The name of your branch is ${{ gitea.ref }} and your repository is ${{ gitea.repository }}."
+      - name: Checkout code
+        uses: actions/checkout@v3
+      - run: echo "💡 The ${{ gitea.repository }} repository has been cloned to the runner."
+      - run: echo "🖥️ The workflow is now ready to test your code on the runner."
+      - name: List files
+        run: |
+          echo ${{ gitea.workspace }}:
+          ls ${{ gitea.workspace }}
+      - run: echo "🍏 This job's status is ${{ gitea.status }}."
+
+
+

src/Containerfile

@@ -0,0 +1,23 @@
+FROM fedora-minimal:latest
+
+RUN microdnf install -y python3-pip && pip install uv
+
+WORKDIR /app
+COPY requirements.txt .
+
+RUN uv venv /app/venv && \
+	source /app/venv/bin/activate && \
+	uv pip install -r requirements.txt
+
+# Copy data for add-on
+COPY database_empty.sqlite data/database.sqlite
+COPY rund.sh .
+COPY run.py .
+COPY main.py .
+COPY api.py .
+COPY moj_licznik.py .
+COPY log_config.py .
+RUN chmod a+x rund.sh
+
+
+CMD [ "/app/rund.sh" ]

src/Dockerfile

@@ -13,7 +13,7 @@ COPY main.py .
 COPY api.py .
 COPY moj_licznik.py .
 COPY log_config.py .
-COPY database_empty.sqlite data/database.sqlite
+COPY database_empty.sqlite database.sqlite
 RUN chmod a+x run.sh
 
 RUN apk add --update --no-cache py3-pip && \

src/README.md

@@ -47,11 +47,6 @@ Wymagane parametry:
 * ENERGA_USERNAME - nazwa użytkownika w aplikacji Energa Mój licznik
 * ENERGA_PASSWORD - hasło użytkownika w aplikacji Energa Mój licznik
 
-Opcjonalne parametry:
-
-* POSTGRESQL_CONNSTRING - namiar na bazę PostgreSQL do przechowywania odczytów;
-format opisany w [dokumentacji PGSQL](https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-CONNSTRING-URIS)
-(przykładowo `postgresql://uzytkownik:haslo@serwer/mojlicznik`)
 
 ## Konfiguracja sensorów
 Do HA możesz dodać sensory, które zawierają informacje udostępniane przez API

src/api.py

@@ -1,4 +1,4 @@
-from peewee import SqliteDatabase, PostgresqlDatabase
+from peewee import SqliteDatabase
 from flask import Flask, jsonify, request, redirect, url_for, abort
 from waitress import serve
 #from datetime 
@@ -9,30 +9,13 @@ import urllib.parse
 
 logger = logging.getLogger("energaMeter.api")
 
-if postgresql_connstring := os.getenv("POSTGRESQL_CONNSTRING"):
-    from psycopg2.extensions import parse_dsn
-    db_name = parse_dsn(postgresql_connstring)['dbname']
-    db = PostgresqlDatabase(db_name, dsn=postgresql_connstring)
-else:
-    path = os.path.dirname(os.path.abspath(__file__))
-    db_file = 'data/database.sqlite'
-    db = SqliteDatabase(os.path.join(path, db_file))
+
+path = os.path.dirname(os.path.abspath(__file__))
+db_file = 'database.sqlite'
+db = SqliteDatabase(os.path.join(path, db_file))
 
 app = Flask(__name__)
 
-# This hook ensures that a connection is opened to handle any queries
-# generated by the request.
-@app.before_request
-def _db_connect():
-    db.connect()
-
-# This hook ensures that the connection is closed when we've finished
-# processing the request.
-@app.teardown_request
-def _db_close(exc):
-    if not db.is_closed():
-        db.close()
-
 @app.route('/', methods=['GET'])
 def root():
     query = PPETable.select() #.where(PPETable.is_active == True)
@@ -224,7 +207,7 @@ def charts():
     zone = request.args.get('zone', None)
     negative = request.args.get('negative', type=bool, default=False) 
     logger.debug(f"API: GET /charts - {start_date} - {end_date}")
-    query = MainChartTable.select().where((MainChartTable.tm >= int(start_date)/1000) & (MainChartTable.tm <= int(end_date)/1000))
+    query = MainChartTable.select().where((MainChartTable.tm >= int(start_date)) & (MainChartTable.tm <= int(end_date)))
     logger.debug(f"{query}")
     factor = 1
     if negative:
@@ -243,13 +226,13 @@ def charts():
     charts = []
 
     for p in result_ppes:
-        czas = p.tm.strftime("%Y-%m-%d %H:%M:%S")
+        czas = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(p.tm/1000))
         chart = {
             'mp': p.mp,
             'meter_type': p.meter_type,
             'meter_type_url': urllib.parse.quote_plus(p.meter_type),
             'zone': p.zone,
-            'time_tm': int(p.tm.timestamp()*1000),
+            'time_tm': p.tm,
             'time': czas,
             'value': p.value * factor
         }

src/moj_licznik.py

@@ -1,25 +1,18 @@
-from peewee import SqliteDatabase, PostgresqlDatabase
+from peewee import SqliteDatabase
 from datetime import datetime, timedelta, date
 import calendar, requests, re, time, json, os, logging
 import http.cookiejar as cookiejar
 from requests.exceptions import HTTPError
 from bs4 import BeautifulSoup
 from enum import Enum
-from peewee import AutoField, Model, CharField, IntegerField, DateField, BooleanField, CompositeKey, DecimalField, ForeignKeyField, SQL, TextField, TimestampField
+from peewee import AutoField, Model, CharField, IntegerField, DateField, BooleanField, CompositeKey, DecimalField, ForeignKeyField, SQL
 import urllib.parse
 
 logger = logging.getLogger("energaMeter")
 
-if postgresql_connstring := os.getenv("POSTGRESQL_CONNSTRING"):
-    from psycopg2.extensions import parse_dsn
-    db_name = parse_dsn(postgresql_connstring)['dbname']
-    db_host = parse_dsn(postgresql_connstring)['host']
-    db = PostgresqlDatabase(db_name, dsn=postgresql_connstring)
-    logger.info(f"Używam bazy PostgreSQL „{db_name}” na {db_host}")
-else:
-    path = os.path.dirname(os.path.abspath(__file__))
-    db_file = 'data/database.sqlite'
-    db = SqliteDatabase(os.path.join(path, db_file))
+path = os.path.dirname(os.path.abspath(__file__))
+db_file = 'database.sqlite'
+db = SqliteDatabase(os.path.join(path, db_file))
 
 class ChartType(Enum):
     DAY = "DAY"
@@ -38,7 +31,7 @@ class PPETable(Model):
     class Meta:
         database = db
         table_name = 'PPE'
-        constraints = [SQL('UNIQUE ("ppe", "tariffCode")')]
+        constraints = [SQL('UNIQUE (ppe, tariffCode)')]
 
 class MeterTable(Model):
     id = AutoField() # Meter point
@@ -50,7 +43,7 @@ class MeterTable(Model):
     class Meta:
         database = db
         table_name = 'METER'
-        constraints = [SQL('UNIQUE ("ppe_id", "meter_type")')]
+        constraints = [SQL('UNIQUE (ppe_id, meter_type)')]
 
 class CounterTable(Model):
     id = AutoField()
@@ -78,7 +71,7 @@ class ChartTable(Model):
     year = IntegerField()
     month = IntegerField(null=True)
     day = IntegerField(null=True)
-    value = TextField()
+    value =CharField()
 
     class Meta:
         database = db
@@ -89,7 +82,7 @@ class MainChartTable(Model):
     mp = CharField()
     meter_type = CharField() 
     zone = IntegerField()
-    tm = TimestampField()
+    tm = IntegerField()
     value = DecimalField(max_digits=20, decimal_places=16, null=True)
     tarAvg = DecimalField(max_digits=20, decimal_places=16, null=True)
     est = BooleanField(default=False)
@@ -367,17 +360,16 @@ class MojLicznik:
             try:
                 logger.debug(f"save_main_charts: mp: {mp}, val: {val}, meter_type: {m_type}")
                 z = val["zones"]
-                tm = int(val["tm"]) / 1000 # convert JS timestamp (milliseconds) to unix (seconds)
                 if z[0]:
                     # MainChartTable.get_or_create(tm = val["tm"], zone = 1, value = z[0], tarAvg=val["tarAvg"], est=val["est"], cplt=val["cplt"])
                     try:
-                        existing_record = MainChartTable.get((MainChartTable.meter_type == m_type) & (MainChartTable.mp == mp) & (MainChartTable.tm == tm) & (MainChartTable.zone == 1))
+                        existing_record = MainChartTable.get((MainChartTable.meter_type == m_type) & (MainChartTable.mp == mp) & (MainChartTable.tm == val["tm"]) & (MainChartTable.zone == 1))
                     except MainChartTable.DoesNotExist:
                         # Jeśli rekord nie istnieje, utwórz nowy
                         MainChartTable.create(
                             mp=mp,
                             meter_type=m_type,
-                            tm=tm,
+                            tm=val["tm"],
                             zone=1,
                             value=z[0],
                             tarAvg=val["tarAvg"],
@@ -387,13 +379,13 @@ class MojLicznik:
                 
                 if z[1]:
                     try:
-                        existing_record = MainChartTable.get((MainChartTable.meter_type == m_type) & (MainChartTable.mp == mp) & (MainChartTable.tm == tm) & (MainChartTable.zone == 2))
+                        existing_record = MainChartTable.get((MainChartTable.meter_type == m_type) & (MainChartTable.mp == mp) & (MainChartTable.tm == val["tm"]) & (MainChartTable.zone == 2))
                     except MainChartTable.DoesNotExist:
                         # Jeśli rekord nie istnieje, utwórz nowy
                         MainChartTable.create(
                             mp=mp,
                             meter_type=m_type,
-                            tm=tm,
+                            tm=val["tm"],
                             zone=2,
                             value=z[1],
                             tarAvg=val["tarAvg"],
@@ -403,13 +395,13 @@ class MojLicznik:
                 
                 if z[2]:
                     try:
-                        existing_record = MainChartTable.get((MainChartTable.meter_type == m_type) & (MainChartTable.mp == mp) & (MainChartTable.tm == tm) & (MainChartTable.zone == 3))
+                        existing_record = MainChartTable.get((MainChartTable.meter_type == m_type) & (MainChartTable.mp == mp) & (MainChartTable.tm == val["tm"]) & (MainChartTable.zone == 3))
                     except MainChartTable.DoesNotExist:
                         # Jeśli rekord nie istnieje, utwórz nowy
                         MainChartTable.create(
                             mp=mp,
                             meter_type=m_type,
-                            tm=tm,
+                            tm=val["tm"],
                             zone=3,
                             value=z[2],
                             tarAvg=val["tarAvg"],