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pcexpress-pickup's Introduction

pcexpress-pickup

A script to check for available pickup times at PC Express locations

Usage

$ python check_all_by_postal_code.py
usage: check_all_by_postal_code.py [-h] [-p P] [-lat LAT] [-long LONG] [-d D] [-r] [-id ID] [-brands BRANDS]

optional arguments:
  -h, --help         show this help message and exit
  -p P, -postal P    ex: m5w1e6
  -lat LAT           ex: 43.703344
  -long LONG         ex: -79.524619
  -d D, -distance D  Search distance in KM
  -r, -report        report lat + long and stores found within search distance. will not check available pickup times
  -id ID             comma seperated store IDs ex: 1111,1122
  -brands BRANDS     filter by comma seperated store brands ex: loblaw,superstore,zehrs

Report a list of stores available within a 10KM radius

$ python check_all_by_postal_code.py -p m5e1w6 -d 10 -r
For faster lookup times use: -lat 43.703344 -long -79.524619
superstore, id: 2800, 2549 Weston Rd Toronto, Ontario M9N 2A7, approx 0.9 KM away
<...>
fortinos, id: 0096, 3940 Hwy 7 RR 2 Vaughan, Ontario L4L 9C3, approx 9.8 KM away

Use -lat and -long to avoid doing a postal code lookup each time

$ python check_all_by_postal_code.py -lat 43.703344 -long -79.524619 -d 10 
9 available at nofrills at 245 Dixon Rd Etobicoke, Ontario M9P 2M4 approx 1.8 KM away
2020-04-14 09:00:00-04:00
<...>
2020-04-23 19:00:00-04:00

1 available at loblaw at 270 The Kingsway Etobicoke, Ontario M9A 3T7 approx 4.7 KM away
2020-04-23 16:00:00-04:00

1 available at loblaw at 3671 Dundas St W Toronto, Ontario M6S 2T3 approx 4.8 KM away
2020-04-23 16:00:00-04:00

Use -id to search for pickup times at specific stores. Geo lookup disaabled, so distance will always be 0 KM

$ python check_all_by_postal_code.py -id 2800,3480,1174
20 available at loblaw at 270 The Kingsway Etobicoke, Ontario M9A 3T7 approx 0 KM away
2020-04-14 14:00:00-04:00
<...>
2020-04-23 15:00:00-04:00

Installation using a python3 virtual environment - python 3.6 or newer required

$ git clone https://github.com/shmick/pcexpress-pickup
$ python3 -m venv pcexpress-pickup/
$ cd pcexpress-pickup/
$ source bin/activate
$ pip install -r requirements.txt

Run via Docker

$ docker run shmick/pcexpress-pickup -lat 43.703344 -long -79.524619
8 available at nofrills at 245 Dixon Rd Etobicoke, Ontario M9P 2M4 approx 1.8 KM away
2020-04-23 12:00:00-04:00
<...>
2020-04-23 19:00:00-04:00

1 available at loblaw at 3671 Dundas St W Toronto, Ontario M6S 2T3 approx 4.8 KM away
2020-04-23 16:00:00-04:00

Build and run your own container

$ git clone https://github.com/shmick/pcexpress-pickup
$ cd pcexpress-pickup/
$ docker build -t pcexpress-pickup:latest .
$ docker run shmick/pcexpress-pickup

Notes

https://www.pcexpress.ca/bundle.js contains a list of all pcexpress pickup locations as well as plenty of other store and location metadata.

Active stores locations have been extracted to locations.json, which is what the utility uses.

The entire unfiltered location dataset has been saved to unfiltered-locations.json

location sample data

{
  "locations": [
    {
      "id": "0925",
      "contactNumber": "7096430850",
      "name": "Prince Rupert Street",
      "storeId": "0925",
      "storeBannerId": "dominion",
      "locationType": "STORE",
      "pickupType": "STORE",
      "bufferTimeInHours": 2,
      "partner": null,
      "visible": true,
      "isShoppable": true,
      "geoPoint": {
        "latitude": 48.546052,
        "longitude": -58.582397
      },
      "address": {
        "country": "Canada",
        "region": "Newfoundland and Labrador",
        "town": "Stephenville",
        "line1": "62 Prince Rupert St",
        "line2": null,
        "postalCode": "A2N 3W7",
        "formattedAddress": "62 Prince Rupert St Stephenville, Newfoundland and Labrador A2N 3W7"
      },
      "timeZone": "Canada/Newfoundland",
      "features": []
    },
    {
      "id": "0927",
      "contactNumber": "7096513437",
      "name": "Laurell Road",
      "storeId": "0927",
      "storeBannerId": "dominion",
      "locationType": "STORE",
      "pickupType": "STORE",
      "bufferTimeInHours": 2,
      "partner": null,
      "visible": true,
      "isShoppable": true,
      "geoPoint": {
        "latitude": 48.949657,
        "longitude": -54.60071
      },
      "address": {
        "country": "Canada",
        "region": "Newfoundland and Labrador",
        "town": "Gander",
        "line1": "100 Laurell Rd",
        "line2": null,
        "postalCode": "A1V 2V5",
        "formattedAddress": "100 Laurell Rd Gander, Newfoundland and Labrador A1V 2V5"
      },
      "timeZone": "Canada/Newfoundland",
      "features": []
    }
  ]
}

pcexpress-pickup's People

Contributors

1adam avatar dependabot[bot] avatar shmick avatar

Stargazers

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Watchers

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Forkers

1adam ludovic-armand

pcexpress-pickup's Issues

Distance calculation is off in more rural areas

If we look at postal codes like "N0M" it covers an area more than 100km wide.

geocoder.ca provides a free rate limited API, unfortunately it outputs XML

index 323dd7d..d8ea270 100644
--- a/check_all_by_postal_code.py
+++ b/check_all_by_postal_code.py
@@ -5,6 +5,7 @@ import haversine
 from datetime import datetime
 from dateutil import tz
 from haversine import haversine, Unit
+from xml.etree import ElementTree

 # f-strings requires python 3.6
 MIN_PYTHON = (3, 6)
@@ -31,12 +32,11 @@ try:
 except:
     mode = ""

-geo_url = "https://geogratis.gc.ca/services/geolocation/en/locate?q=" + postal_code
+geo_url = "https://geocoder.ca/?&geoit=xml&topmatches=0&postal=" + postal_code
 geo_data = requests.get(geo_url)
-geo_json = geo_data.json()
-coords = geo_json[0]["geometry"]["coordinates"]
-pLat = coords[1]
-pLong = coords[0]
+root = ElementTree.fromstring(geo_data.content)
+pLat = float(root[0].text)
+pLong = float(root[1].text)
 myLatLong = (pLat, pLong)```

IndexError: list index out of range (doesn't like some postal codes)

git show --oneline -s

0aa87be (HEAD -> master, origin/master, origin/HEAD) update readme

python3 ./check_all_by_postal_code.py l8b0c1 1

Traceback (most recent call last):
File "./check_all_by_postal_code.py", line 37, in
coords = geo_json[0]["geometry"]["coordinates"]
IndexError: list index out of range

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