Added saving null responses setting and column name config

parser/__init__.py

@@ -10,6 +10,7 @@ from .lenenergo import LenenergoParser
 from .preprocess import (
     COL_NS,
     ICOL_NS,
+    PR_COL_NS,
     group_by_index,
     preprocess_df,
     preprocess_read_df,
@@ -20,6 +21,7 @@ __all__ = (
     "async_fetch_building_id",
     "async_fetch_building_ids",
     "COL_NS",
+    "PR_COL_NS",
     "concurrent_fetch_builing_ids",
     "fetch_builing_ids",
     "get_building_id",

parser/preprocess.py

@@ -21,6 +21,23 @@ COL_NS = {
     "lng": "Долгота",
 }
 
+PR_COL_NS = (
+    "index",
+    "region",
+    "area",
+    "town",
+    "street",
+    "branch",
+    "res",
+    "comment",
+    "building_id",
+    "lat",
+    "lng",
+    "start",
+    "finish",
+)
+
+
 ICOL_NS = dict(map(reversed, COL_NS.items()))
 
 

runner/__main__.py

@@ -1,11 +1,17 @@
 import schedule
 
-from .config import REFETCH_PERIOD_H
+from .config import REFETCH_PERIOD_H, STORE_NULL_BID
 from .job import job
 from .scheduler import run_continuously
 
 schedule.every(REFETCH_PERIOD_H).hours.do(job)
 stop_run_continuously = run_continuously()
 
+print(
+    f"Scheduled to run every {REFETCH_PERIOD_H} hour and "
+    + ("" if STORE_NULL_BID else "not ")
+    + "to store NULL building_id"
+)
+
 # First run
 job()

runner/config.py

@@ -1,6 +1,9 @@
 import os
 
+from parser import PR_COL_NS
+
 REFETCH_PERIOD_H = int(os.environ.get("REFETCH_PERIOD_H", "4"))
+STORE_NULL_BID = os.environ.get("STORE_NULL_BID", "False") == "True"
 
 POSTGRES_USER = os.environ.get("POSTGRES_USER", "lenenergo")
 POSTGRES_PASSWORD = os.environ.get("POSTGRES_PASSWORD", "lenenergo")
@@ -9,3 +12,9 @@ POSTGRES_HOST = os.environ.get("POSTGRES_HOST", "localhost")
 POSTGRES_PORT = int(os.environ.get("POSTGRES_PORT", "5432"))
 
 DB_URL = os.environ.get("DB_URL", None)
+
+DB_COLUMNS_MAP = dict(zip(PR_COL_NS, PR_COL_NS))
+"""
+Feel free to rewrite mapping like 
+DB_COLUMNS_MAP["<COL_NS key>"] = "<corresponding db column name>"
+"""

runner/job.py

@@ -4,23 +4,13 @@ from parser import pipeline
 import pandas as pd
 import psycopg
 
+from .config import DB_COLUMNS_MAP, STORE_NULL_BID
 from .database import db_credentials
 
-sql_statement = """COPY records (
+
-    index,
+sql_statement = "".join(
-    region,
+    ("COPY records (", ", ".join(DB_COLUMNS_MAP.values()), ") FROM STDIN")
-    area,
+)
-    town,
-    street,
-    branch,
-    res,
-    comment,
-    building_id,
-    lat,
-    lng,
-    start,
-    finish
-) FROM STDIN"""
 
 
 def job():
@@ -36,6 +26,8 @@ def job():
             with cursor.copy(sql_statement) as copy:
                 for _, row in parser.df.iterrows():
                     row = row.where((pd.notnull(row)), None)
-                    copy.write_row(row.to_list())
+                    if row["building_id"] is not None or STORE_NULL_BID:
+                        db_row = row.rename(DB_COLUMNS_MAP)
+                        copy.write_row(db_row.to_list())
 
     print(f"Fetched in {datetime.now() - fetch_start}\n{parser}")