Format code, renamed modules

parser/__init__.py

@@ -0,0 +1,31 @@
+from .address import split_addresses
+from .building_id import (
+    async_fetch_building_ids,
+    concurrent_fetch_builing_ids,
+    fetch_builing_ids,
+    get_building_id,
+)
+from .preprocess import (
+    COL_NS,
+    ICOL_NS,
+    group_by_index,
+    preprocess_df,
+    preprocess_read_df,
+)
+from .rosseti import RossetiParser
+from .util import pipeline
+
+__all__ = (
+    "RossetiParser",
+    "split_addresses",
+    "get_building_id",
+    "fetch_builing_ids",
+    "async_fetch_building_ids",
+    "concurrent_fetch_builing_ids",
+    "preprocess_df",
+    "COL_NS",
+    "ICOL_NS",
+    "preprocess_read_df",
+    "group_by_index",
+    "pipeline",
+)

parser/__main__.py

@@ -1,7 +1,8 @@
 import sys
-import schedule
 import time
 
+import schedule
+
 from . import pipeline
 
 
@@ -11,7 +12,7 @@ def job():
 
 
 if len(sys.argv) == 2:
-    if sys.argv[1] == '-h' or sys.argv[1] == '--help':
+    if sys.argv[1] == "-h" or sys.argv[1] == "--help":
         print("python -m parser [<running period in hours>]")
         exit(0)
 

parser/address.py

@@ -0,0 +1,87 @@
+from __future__ import annotations
+
+import re
+from typing import Iterable, List, TypeVar
+
+import pandas as pd
+
+T = TypeVar("T")
+
+STREET_PREFIXES = ("ул.", "бул.", "пр.", "ул", "бул", "пр", "ш.", "ш", "пер.", "пер")
+HOUSES_PREFIXES = ("д.", "д")
+
+
+def unfold_house_ranges(token: str) -> str:
+    pairs_strings = re.findall(r"([\d]+-[\d]+)", token)
+    for pair_string in pairs_strings:
+        a, b = pair_string.split("-")
+        a, b = int(a), int(b)
+
+        if b > a:
+            token = token.replace(pair_string, ", ".join(map(str, range(a, b + 1))))
+
+    return token
+
+
+def unfold_houses_list(token: str) -> List[str]:
+    token = unfold_house_ranges(token)
+
+    reg = re.compile(r"(д|д\.)? ?\d+[а-яА-Я\/]*\d*(,|$| )")
+
+    if len(re.findall(reg, token)) > 1:
+        tokens = token.split(",")
+        return [*[tokens[0] + " " + house_token for house_token in tokens[1:]]]
+    return [token]
+
+
+def any_of_in(substrings: Iterable[str], string: str) -> bool:
+    return any(map(lambda substring: substring in string, substrings))
+
+
+def flatten(arr: Iterable[List[T]]) -> List[T]:
+    return sum(arr, [])
+
+
+def split_address(address: str) -> List[str]:
+    if ";" in address:
+        return flatten(map(unfold_houses_list, address.split(";")))
+    elif "," in address:
+        tokens = re.split(r"(,)", address)
+
+        tokens = list(map(str.strip, filter(lambda token: token != "", tokens)))
+
+        res = []
+        accumulator = ""
+
+        for i in range(len(tokens)):
+            if any_of_in(STREET_PREFIXES, tokens[i].lower()) and any_of_in(
+                STREET_PREFIXES, accumulator.lower()
+            ):
+                res += unfold_houses_list(accumulator)
+                accumulator = ""
+
+            accumulator += tokens[i]
+
+        res += unfold_houses_list(accumulator)
+
+        return res
+
+    return [address]
+
+
+def process_row(row: pd.Series[str]) -> pd.Series[str]:
+    row = row.copy()
+
+    if pd.isnull(row["Улица"]):
+        row["Улица"] = [None]
+    else:
+        addresses = split_address(row["Улица"])
+        row["Улица"] = addresses
+
+    return row
+
+
+def split_addresses(df: pd.DataFrame) -> pd.DataFrame:
+    merged_df = df.apply(process_row, axis=1).reset_index()
+
+    return merged_df.explode("Улица", ignore_index=True)

parser/building_id.py

@@ -0,0 +1,73 @@
+from __future__ import annotations
+
+import asyncio
+from typing import Optional, Tuple
+
+import aiohttp
+import pandas as pd
+import requests
+
+GeoTupleType = Tuple[Optional[int], Optional[float], Optional[float]]
+
+
+def get_building_id(street: str) -> GeoTupleType:
+    if pd.isnull(street):
+        return None, None, None
+
+    r = requests.get(
+        "https://geocode.gate.petersburg.ru/parse/eas",
+        params={"street": street},
+        timeout=10,
+    )
+
+    res = r.json()
+
+    if "error" in res:
+        return None, None, None
+
+    return res["Building_ID"], res["Latitude"], res["Longitude"]
+
+
+def fetch_builing_ids(df: pd.DataFrame) -> pd.DataFrame:
+    df[["ID здания", "Широта", "Долгота"]] = df.apply(
+        lambda row: get_building_id(row["Улица"]), axis=1, result_type="expand"
+    )
+
+    return df
+
+
+async def async_fetch_building_id(
+    session: aiohttp.ClientSession, street: str
+) -> GeoTupleType:
+    if pd.isnull(street):
+        return None, None, None
+
+    async with session.get(
+        "https://geocode.gate.petersburg.ru/parse/eas", params={"street": street}
+    ) as r:
+        res = await r.json()
+
+        if "error" in res:
+            return None, None, None
+
+        return res["Building_ID"], res["Latitude"], res["Longitude"]
+
+
+async def async_fetch_building_ids(df: pd.DataFrame) -> pd.DataFrame:
+    async with aiohttp.ClientSession() as session:
+        tasks = []
+
+        for _, row in df.iterrows():
+            tasks.append(
+                asyncio.ensure_future(async_fetch_building_id(session, row["Улица"]))
+            )
+
+        res = await asyncio.gather(*tasks)
+
+        df[["ID здания", "Широта", "Долгота"]] = res
+
+        return df
+
+
+def concurrent_fetch_builing_ids(df: pd.Dataframe) -> pd.DataFrame:
+    return asyncio.run(async_fetch_building_ids(df))

parser/preprocess.py

@@ -0,0 +1,63 @@
+from __future__ import annotations
+
+from typing import Any, List
+
+import pandas as pd
+
+COL_NS = {
+    "region": "Регион РФ (область, край, город фед. значения, округ)",
+    "area": "Административный район",
+    "town": "Населённый пункт",
+    "street": "Улица",
+    "start_date": "Плановая дата начала отключения электроснабжения",
+    "start_time": "Плановое время начала отключения электроснабжения",
+    "finish_date": "Плановая дата восстановления отключения электроснабжения",
+    "finish_time": "Плановое время восстановления отключения электроснабжения",
+    "branch": "Филиал",
+    "res": "РЭС",
+    "comment": "Комментарий",
+    "building_id": "ID здания",
+    "lat": "Широта",
+    "lng": "Долгота",
+}
+
+ICOL_NS = dict(map(reversed, COL_NS.items()))
+
+
+def preprocess_df(df: pd.DataFrame) -> pd.DataFrame:
+    df.rename(columns=ICOL_NS, inplace=True)
+
+    for a in ("start", "finish"):
+        df[f"{a}"] = pd.to_datetime(
+            df[f"{a}_date"].astype(str) + " " + df[f"{a}_time"].astype(str),
+            dayfirst=True,
+        )
+        df.drop(columns=[f"{a}_date", f"{a}_time"], inplace=True)
+
+    return df
+
+
+def preprocess_read_df(df: pd.DataFrame) -> pd.DataFrame:
+    for name in ("start", "finish"):
+        df[name] = pd.to_datetime(df[name])
+
+    return df
+
+
+def join_columns(col: pd.Series[Any]) -> List[Any] | Any:
+    first = col.iloc[0]
+
+    if col.name in ("street", "building_id", "lat", "lng") and pd.notnull(first):
+        return list(col)
+
+    return first
+
+
+def group_by_index(df: pd.DataFrame) -> pd.DataFrame:
+    groupped = df.groupby("index")
+
+    res_df = groupped.apply(lambda index_df: index_df.apply(join_columns)).drop(
+        columns="index"
+    )
+
+    return res_df

parser/rosseti.py

@@ -1,14 +1,16 @@
-from datetime import datetime, timedelta
 import io
-from typing import Mapping, Optional, Tuple, no_type_check
+from datetime import datetime, timedelta
+from typing import Mapping, Optional, Tuple
 
-from bs4 import BeautifulSoup
-import requests
 import pandas as pd
+import requests
+from bs4 import BeautifulSoup
 
 
 class RossetiParser:
-    def __init__(self, ndays=7, today: Optional[datetime] = None, file_path: Optional[str] = None) -> None:
+    def __init__(
+        self, ndays=7, today: Optional[datetime] = None, file_path: Optional[str] = None
+    ) -> None:
         self.base_url = "https://rosseti-lenenergo.ru/planned_work"
 
         if today is None:
@@ -34,38 +36,34 @@ class RossetiParser:
         date_start = self.__format_date(today)
         date_finish = self.__format_date(today + timedelta(days=ndays))
 
-        return {
-            'date_start': date_start,
-            'date_finish': date_finish
-        }
+        return {"date_start": date_start, "date_finish": date_finish}
 
     def __get_page(self, url: str, params: Mapping[str, str]) -> None:
         r = requests.get(url, params)
 
-        self.soup = BeautifulSoup(r.text, features='html.parser')
+        self.soup = BeautifulSoup(r.text, features="html.parser")
 
     def __parse_nav(self) -> Tuple[str, str]:
-        navigator = self.soup.find('span', attrs={'class': 'page-nav-i'})
+        navigator = self.soup.find("span", attrs={"class": "page-nav-i"})
 
-        next_uri = navigator.find('a', attrs={'class': 'next'})['href']
-        last_uri = navigator.find_all('a')[-1]['href']
+        next_uri = navigator.find("a", attrs={"class": "next"})["href"]
+        last_uri = navigator.find_all("a")[-1]["href"]
 
         return next_uri, last_uri
 
     def __parse_table(self) -> pd.DataFrame:
-        table = self.soup.find(
-            'table', attrs={'class': 'tableous_facts funds'})
+        table = self.soup.find("table", attrs={"class": "tableous_facts funds"})
 
         return pd.read_html(io.StringIO(str(table)))[0]
 
     def __save_page(self, uri: str) -> None:
         print(f'Processing page "{uri}"')
         self.__get_page(self.base_url + uri, self.__params)
-        self.df = pd.concat(
-            (self.df, self.__parse_table()), ignore_index=True)
+        self.df = pd.concat((self.df, self.__parse_table()), ignore_index=True)
 
     def __set_columns(self) -> None:
-        self.df.columns = pd.Index((
+        self.df.columns = pd.Index(
+            (
                 "Регион РФ (область, край, город фед. значения, округ)",
                 "Административный район",
                 "Населённый пункт",
@@ -77,9 +75,12 @@ class RossetiParser:
                 "Филиал",
                 "РЭС",
                 "Комментарий",
-        ))
+            )
+        )
 
-    def fetch(self, ndays: Optional[int] = None, today: Optional[datetime] = None) -> None:
+    def fetch(
+        self, ndays: Optional[int] = None, today: Optional[datetime] = None
+    ) -> None:
         if ndays is None:
             ndays = self.ndays
         if today is None:
@@ -87,7 +88,7 @@ class RossetiParser:
 
         self.__params = self.__compose_date_params(ndays, today)
 
-        self.__save_page('')
+        self.__save_page("")
 
         next_uri, last_uri = self.__parse_nav()
 

parser/util.py

@@ -1,6 +1,11 @@
 from typing import Optional
 
-from . import RossetiParser, split_addresses, concurrent_fetch_builing_ids, preprocess_df
+from . import (
+    RossetiParser,
+    concurrent_fetch_builing_ids,
+    preprocess_df,
+    split_addresses,
+)
 
 
 def pipeline(parser: Optional[RossetiParser] = None) -> RossetiParser:

parser_api/config.py

@@ -1,9 +0,0 @@
-import os
-
-REFETCH_PERIOD_H = int(os.environ.get('REFETCH_PERIOD_H', '4'))
-
-POSTGRES_USER = os.environ.get('POSTGRES_USER', 'rosseti')
-POSTGRES_PASSWORD = os.environ.get('POSTGRES_PASSWORD', 'rosseti')
-POSTGRES_DB = os.environ.get('POSTGRES_DB', 'rosseti')
-POSTGRES_HOST = os.environ.get('POSTGRES_HOST', 'localhost')
-POSTGRES_PORT = int(os.environ.get('POSTGRES_PORT', '5432'))

rosseti_parser/__init__.py

@@ -1,5 +0,0 @@
-from .rosseti import RossetiParser
-from .address import split_addresses
-from .building_id import get_building_id, fetch_builing_ids, async_fetch_building_ids, concurrent_fetch_builing_ids
-from .preprocess import preprocess_df, COL_NS, ICOL_NS, preprocess_read_df, group_by_index
-from .util import pipeline

rosseti_parser/address.py

@@ -1,88 +0,0 @@
-from __future__ import annotations
-from typing import List, Iterable, TypeVar, Any
-
-import pandas as pd
-import re
-
-T = TypeVar('T')
-
-STREET_PREFIXES = ('ул.', 'бул.', 'пр.', 'ул', 'бул',
-                   'пр', 'ш.', 'ш', 'пер.', 'пер')
-HOUSES_PREFIXES = ('д.', 'д')
-
-
-def unfold_house_ranges(token: str) -> str:
-    pairs_strings = re.findall(r'([\d]+-[\d]+)', token)
-    for pair_string in pairs_strings:
-        a, b = pair_string.split('-')
-        a, b = int(a), int(b)
-
-        if b > a:
-            token = token.replace(
-                pair_string, ', '.join(map(str, range(a, b+1))))
-
-    return token
-
-
-def unfold_houses_list(token: str) -> List[str]:
-    token = unfold_house_ranges(token)
-
-    reg = re.compile(r'(д|д\.)? ?\d+[а-яА-Я\/]*\d*(,|$| )')
-
-    if len(re.findall(reg, token)) > 1:
-        tokens = token.split(',')
-        return [*[tokens[0] + ' ' + house_token for house_token in tokens[1:]]]
-    return [token]
-
-
-def any_of_in(substrings: Iterable[str], string: str) -> bool:
-    return any(map(lambda substring: substring in string, substrings))
-
-
-def flatten(arr: Iterable[List[T]]) -> List[T]:
-    return sum(arr, [])
-
-
-def split_address(address: str) -> List[str]:
-    if ';' in address:
-        return flatten(map(unfold_houses_list, address.split(';')))
-    elif ',' in address:
-        tokens = re.split(r'(,)', address)
-
-        tokens = list(map(str.strip, filter(
-            lambda token: token != '', tokens)))
-
-        res = []
-        accumulator = ''
-
-        for i in range(len(tokens)):
-            if (any_of_in(STREET_PREFIXES, tokens[i].lower()) and
-                    any_of_in(STREET_PREFIXES, accumulator.lower())):
-                res += unfold_houses_list(accumulator)
-                accumulator = ''
-
-            accumulator += tokens[i]
-
-        res += unfold_houses_list(accumulator)
-
-        return res
-
-    return [address]
-
-
-def process_row(row: pd.Series[str]) -> pd.Series[str]:
-    row = row.copy()
-
-    if pd.isnull(row['Улица']):
-        row['Улица'] = [None]
-    else:
-        addresses = split_address(row['Улица'])
-        row['Улица'] = addresses
-
-    return row
-
-
-def split_addresses(df: pd.DataFrame) -> pd.DataFrame:
-    merged_df = df.apply(process_row, axis=1).reset_index()
-
-    return merged_df.explode('Улица', ignore_index=True)

rosseti_parser/building_id.py

@@ -1,72 +0,0 @@
-from __future__ import annotations
-from typing import Optional, Tuple, Any, List
-
-import requests
-import pandas as pd
-import numpy as np
-import asyncio
-import aiohttp
-
-GeoTupleType = Tuple[Optional[int], Optional[float], Optional[float]]
-
-
-def get_building_id(street: str) -> GeoTupleType:
-    if pd.isnull(street):
-        return None, None, None
-
-    r = requests.get('https://geocode.gate.petersburg.ru/parse/eas', params={
-        'street': street
-    }, timeout=10)
-
-    res = r.json()
-
-    if 'error' in res:
-        return None, None, None
-
-    return res['Building_ID'], res['Latitude'], res['Longitude']
-
-
-def fetch_builing_ids(df: pd.DataFrame) -> pd.DataFrame:
-    df[['ID здания', 'Широта', 'Долгота']] = df.apply(
-        lambda row: get_building_id(row['Улица']), axis=1, result_type='expand')
-
-    return df
-
-
-async def async_fetch_building_id(session: aiohttp.ClientSession, street: str) -> GeoTupleType:
-    if pd.isnull(street):
-        return None, None, None
-
-    async with session.get('https://geocode.gate.petersburg.ru/parse/eas', params={
-        'street': street
-    }) as r:
-        res = await r.json()
-
-        if 'error' in res:
-            return None, None, None
-
-        return res['Building_ID'], res['Latitude'], res['Longitude']
-
-
-async def async_fetch_building_ids(df: pd.DataFrame) -> pd.DataFrame:
-    async with aiohttp.ClientSession() as session:
-        tasks = []
-
-        for _, row in df.iterrows():
-            tasks.append(
-                asyncio.ensure_future(
-                    async_fetch_building_id(session, row['Улица'])
-                )
-            )
-
-        res = await asyncio.gather(*tasks)
-
-        df[['ID здания', 'Широта', 'Долгота']] = res
-
-        return df
-
-
-def concurrent_fetch_builing_ids(df: pd.Dataframe) -> pd.DataFrame:
-    return asyncio.run(
-        async_fetch_building_ids(df)
-    )

rosseti_parser/preprocess.py

@@ -1,62 +0,0 @@
-from __future__ import annotations
-from typing import Any, List
-
-import pandas as pd
-
-COL_NS = {
-    'region': 'Регион РФ (область, край, город фед. значения, округ)',
-    'area': 'Административный район',
-    'town': 'Населённый пункт',
-    'street': 'Улица',
-    'start_date': 'Плановая дата начала отключения электроснабжения',
-    'start_time': 'Плановое время начала отключения электроснабжения',
-    'finish_date': 'Плановая дата восстановления отключения электроснабжения',
-    'finish_time': 'Плановое время восстановления отключения электроснабжения',
-    'branch': 'Филиал',
-    'res': 'РЭС',
-    'comment': 'Комментарий',
-    'building_id': 'ID здания',
-    'lat': 'Широта',
-    'lng': 'Долгота'
-}
-
-ICOL_NS = dict(map(reversed, COL_NS.items()))
-
-
-def preprocess_df(df: pd.DataFrame) -> pd.DataFrame:
-    df.rename(columns=ICOL_NS, inplace=True)
-
-    for a in ('start', 'finish'):
-        df[f'{a}'] = pd.to_datetime(
-            df[f'{a}_date'].astype(str) + ' ' + df[f'{a}_time'].astype(str),
-            dayfirst=True
-        )
-        df.drop(columns=[f'{a}_date', f'{a}_time'], inplace=True)
-
-    return df
-
-
-def preprocess_read_df(df: pd.DataFrame) -> pd.DataFrame:
-    for name in ('start', 'finish'):
-        df[name] = pd.to_datetime(df[name])
-
-    return df
-
-
-def join_columns(col: pd.Series[Any]) -> List[Any] | Any:
-    first = col.iloc[0]
-
-    if col.name in ('street', 'building_id', 'lat', 'lng') and pd.notnull(first):
-        return list(col)
-
-    return first
-
-
-def group_by_index(df: pd.DataFrame) -> pd.DataFrame:
-    groupped = df.groupby('index')
-
-    res_df = groupped.apply(
-        lambda index_df: index_df.apply(join_columns)
-    ).drop(columns='index')
-
-    return res_df

runner/config.py

@@ -0,0 +1,9 @@
+import os
+
+REFETCH_PERIOD_H = int(os.environ.get("REFETCH_PERIOD_H", "4"))
+
+POSTGRES_USER = os.environ.get("POSTGRES_USER", "rosseti")
+POSTGRES_PASSWORD = os.environ.get("POSTGRES_PASSWORD", "rosseti")
+POSTGRES_DB = os.environ.get("POSTGRES_DB", "rosseti")
+POSTGRES_HOST = os.environ.get("POSTGRES_HOST", "localhost")
+POSTGRES_PORT = int(os.environ.get("POSTGRES_PORT", "5432"))

runner/controller.py

@@ -1,15 +1,12 @@
-from typing import List, Optional
-from functools import reduce
 import datetime
+from functools import reduce
+from typing import List, Optional
 
 from fastapi import HTTPException
-from sqlalchemy import func, True_
+from parser import get_building_id
 from sqlalchemy.orm import Session
-from sqlalchemy.sql import operators
 from sqlalchemy.sql.expression import BinaryExpression
 
-from rosseti_parser import get_building_id
-
 from . import models, schemas
 
 
@@ -36,7 +33,7 @@ def create_record(db: Session, record: schemas.Record):
 
 
 def contains_lower(name, val):
-    if type(val) == str:
+    if isinstance(val, str):
         return getattr(models.Record, name).icontains(val)
     else:
         return getattr(models.Record, name) == val
@@ -53,15 +50,17 @@ def search_each(db: Session, filters: schemas.RecordRequest) -> List[schemas.Rec
     query = None
 
     if filters.start:
-        query = (models.Record.start <= filters.start)
+        query = models.Record.start <= filters.start
     if filters.finish:
         query = and_if_can(models.Record.finish >= filters.finish, query)
 
     filters = list(
-        filter(lambda x: x[1] is not None and x[0] not in ('start, finish'), filters))
+        filter(lambda x: x[1] is not None and x[0] not in ("start, finish"), filters)
+    )
 
-    query = reduce(lambda acc, ftr: and_if_can(
-        contains_lower(*ftr), acc), filters, query)
+    query = reduce(
+        lambda acc, ftr: and_if_can(contains_lower(*ftr), acc), filters, query
+    )
 
     if query is None:
         res = db.query(models.Record).all()
@@ -74,14 +73,11 @@ def search_each(db: Session, filters: schemas.RecordRequest) -> List[schemas.Rec
 def search_all(db: Session, prompt: str) -> List[schemas.Record]:
     prompt = prompt.strip()
 
-    query = reduce(lambda acc, name: acc | contains_lower(name, prompt), (
-        'region',
-        'area',
-        'town',
-        'street',
-        'branch',
-        'res'
-    ), contains_lower('comment', prompt))
+    query = reduce(
+        lambda acc, name: acc | contains_lower(name, prompt),
+        ("region", "area", "town", "street", "branch", "res"),
+        contains_lower("comment", prompt),
+    )
 
     building_id, *_ = get_building_id(prompt)
 
@@ -95,24 +91,19 @@ def search_all(db: Session, prompt: str) -> List[schemas.Record]:
 
 def check_outage(db: Session, building_id: int) -> schemas.CheckResponse:
     building_query = db.query(models.Record).filter(
-        (models.Record.building_id == building_id))
+        (models.Record.building_id == building_id)
+    )
 
     if building_query.count() == 0:
-        raise HTTPException(404, 'No such building')
+        raise HTTPException(404, "No such building")
 
     now = datetime.datetime.now()
 
     res = building_query.filter(
-        (models.Record.start <= now) &
-        (now <= models.Record.finish)
+        (models.Record.start <= now) & (now <= models.Record.finish)
     ).first()
 
     if res is None:
-        return {
-            'is_outage': False
-        }
+        return {"is_outage": False}
 
-    return {
-        'is_outage': True,
-        'when_finish': res.finish
-    }
+    return {"is_outage": True, "when_finish": res.finish}

runner/database.py

@@ -1,11 +1,16 @@
 from typing import Generator
-import os
 
-from sqlalchemy import create_engine, URL
+from sqlalchemy import URL, create_engine
 from sqlalchemy.ext.declarative import declarative_base
-from sqlalchemy.orm import sessionmaker, Session
+from sqlalchemy.orm import Session, sessionmaker
 
-from .config import POSTGRES_USER, POSTGRES_PASSWORD, POSTGRES_HOST, POSTGRES_PORT, POSTGRES_DB
+from .config import (
+    POSTGRES_DB,
+    POSTGRES_HOST,
+    POSTGRES_PASSWORD,
+    POSTGRES_PORT,
+    POSTGRES_USER,
+)
 
 engine = create_engine(
     URL.create(
@@ -16,12 +21,13 @@ engine = create_engine(
         port=POSTGRES_PORT,
         database=POSTGRES_DB,
     ),
-    client_encoding='utf8',
+    client_encoding="utf8",
 )
 SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
 
 Base = declarative_base()
 
+
 # Dependency
 def get_db() -> Generator[Session, None, None]:
     db = SessionLocal()

runner/job.py

@@ -1,13 +1,10 @@
-from rosseti_parser import pipeline, preprocess_read_df
-import pandas as pd
-import numpy as np
 from datetime import datetime
-import logging
 
-from .database import get_db
+import pandas as pd
+from parser import pipeline
+
 from . import models
-
-from io import StringIO
+from .database import get_db
 
 
 def job():

runner/main.py

@@ -1,14 +1,13 @@
-from contextlib import asynccontextmanager
 import datetime
 
-from fastapi import FastAPI
 import schedule
+from fastapi import FastAPI
 
 from . import models, router, schemas
-from .database import engine
-from .scheduler import run_continuously, run_threaded
-from .job import job
 from .config import REFETCH_PERIOD_H
+from .database import engine
+from .job import job
+from .scheduler import run_continuously, run_threaded
 
 models.Base.metadata.create_all(bind=engine)
 
@@ -25,13 +24,12 @@ async def lifespan(app: FastAPI):
 
     stop_run_continuously()
 
+
 app = FastAPI(lifespan=lifespan)
 
 app.include_router(router.router)
 
 
-@app.get('/', response_model=schemas.Healthcheck)
+@app.get("/", response_model=schemas.Healthcheck)
 def Healthcheck():
-    return {
-        "up_since": start_stamp
-    }
+    return {"up_since": start_stamp}

runner/models.py

@@ -1,11 +1,10 @@
-from sqlalchemy import Boolean, Column, Integer, String, DateTime, Float
-from sqlalchemy.orm import relationship
+from sqlalchemy import Column, DateTime, Float, Integer, String
 
 from .database import Base
 
 
 class Record(Base):
-    __tablename__ = 'records'
+    __tablename__ = "records"
 
     id = Column(Integer, primary_key=True, index=True)
     index = Column(Integer)

runner/router.py

@@ -1,19 +1,17 @@
-from fastapi import HTTPException, Depends
+from typing import Annotated, List
+
+from fastapi import APIRouter, Depends
 from sqlalchemy.orm import Session
-from typing import List, Annotated
 
-from fastapi import APIRouter
+from . import controller, schemas
+from .database import get_db
 
-from . import models, schemas, controller
-from .database import SessionLocal, get_db
-
-router = APIRouter(prefix='/api')
+router = APIRouter(prefix="/api")
 
 
-@router.get('/list', response_model=List[schemas.Record], summary="Search by filters")
+@router.get("/list", response_model=List[schemas.Record], summary="Search by filters")
 def list_rows(
-    filters: Annotated[schemas.RecordRequest, Depends()],
-    db: Session = Depends(get_db)
+    filters: Annotated[schemas.RecordRequest, Depends()], db: Session = Depends(get_db)
 ):
     """
     Searches rows with specified filters.
@@ -40,7 +38,7 @@ def list_rows(
     return controller.search_each(db, filters)
 
 
-@router.get('/search', response_model=List[schemas.Record], summary="Search by query")
+@router.get("/search", response_model=List[schemas.Record], summary="Search by query")
 def search_rows(query: str, db: Session = Depends(get_db)):
     """
     Selects rows with cells containing case insensitive prompt as its part.
@@ -58,7 +56,9 @@ def search_rows(query: str, db: Session = Depends(get_db)):
     return controller.search_all(db, query)
 
 
-@router.get('/check', response_model=schemas.CheckResponse, summary="Check when outage ends")
+@router.get(
+    "/check", response_model=schemas.CheckResponse, summary="Check when outage ends"
+)
 def check(building_id: int, db: Session = Depends(get_db)):
     """
     Checks if there is an active outage for building_id and if there is, also returns when will it end
@@ -66,7 +66,7 @@ def check(building_id: int, db: Session = Depends(get_db)):
     return controller.check_outage(db, building_id)
 
 
-@router.put('/create', response_model=schemas.Record)
+@router.put("/create", response_model=schemas.Record)
 def create_record(record: schemas.RecordCreate, db: Session = Depends(get_db)):
     """
     Not for public usage

runner/schemas.py

@@ -38,5 +38,6 @@ class CheckResponse(BaseModel):
     is_outage: bool
     when_finish: Optional[datetime.datetime] = None
 
+
 class Healthcheck(BaseModel):
     up_since: datetime.datetime