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pythondev
|
help
|
It's using ansible, so slightly obfuscated, but should give a good example if you can read through that
|
2017-07-20T00:40:36.973160
|
Beula
|
pythondev_help_Beula_2017-07-20T00:40:36.973160
| 1,500,511,236.97316 | 86,403 |
pythondev
|
help
|
<@Alvin> Unfortunately after changing `from . import config` in `__init__.py` to `from broadway import config` I still receive the error:
```from broadway import create_app, models, util
ModuleNotFoundError: No module named 'broadway'```
Thanks anyway though. It was worth a shot. :slightly_smiling_face:
|
2017-07-20T03:44:41.361673
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T03:44:41.361673
| 1,500,522,281.361673 | 86,404 |
pythondev
|
help
|
`latitude = db.Column(db.Float, nullable=False, asdecimal=True)` gives me `Unknown arguements passed to Clumn: ['asdecimal']`...am I doing something wrong here?
|
2017-07-20T03:50:00.463374
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T03:50:00.463374
| 1,500,522,600.463374 | 86,405 |
pythondev
|
help
|
not sure how to pass an argument to `db.Float` when constructing a Column with ORM
|
2017-07-20T03:52:49.517566
|
Suellen
|
pythondev_help_Suellen_2017-07-20T03:52:49.517566
| 1,500,522,769.517566 | 86,406 |
pythondev
|
help
|
but you can achieve the same with:
|
2017-07-20T03:52:58.520319
|
Suellen
|
pythondev_help_Suellen_2017-07-20T03:52:58.520319
| 1,500,522,778.520319 | 86,407 |
pythondev
|
help
|
`latitute = db.Column(db.Decimal, nullable=False)`
|
2017-07-20T03:53:11.524572
|
Suellen
|
pythondev_help_Suellen_2017-07-20T03:53:11.524572
| 1,500,522,791.524572 | 86,408 |
pythondev
|
help
|
`db.Decimal` (or `db.Numeric`, which is the same) is basically `db.Float` with `asdecimal=True`
|
2017-07-20T03:53:44.534928
|
Suellen
|
pythondev_help_Suellen_2017-07-20T03:53:44.534928
| 1,500,522,824.534928 | 86,409 |
pythondev
|
help
|
<@Suellen> `db.Decimal` didn't work but `db.Numeric` did. Thanks! :smile:
|
2017-07-20T05:17:58.416420
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T05:17:58.416420
| 1,500,527,878.41642 | 86,410 |
pythondev
|
help
|
:slightly_smiling_face:
|
2017-07-20T05:18:06.419171
|
Suellen
|
pythondev_help_Suellen_2017-07-20T05:18:06.419171
| 1,500,527,886.419171 | 86,411 |
pythondev
|
help
|
Is it better to have a local Postgres database for local testing of my app, or just have Postgres connect to the remote database on the staging server? :thinking_face:
|
2017-07-20T05:43:52.998947
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T05:43:52.998947
| 1,500,529,432.998947 | 86,412 |
pythondev
|
help
|
I can think of pros and cons to both, but I think that it's likely one of them is considered best practice...
|
2017-07-20T05:44:18.008500
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T05:44:18.008500
| 1,500,529,458.0085 | 86,413 |
pythondev
|
help
|
It doesn't matter, although you want to be accessing a separate _database_ on it (i.e. `CREATE DATABASE testing`)
|
2017-07-20T05:49:30.124075
|
Gabriele
|
pythondev_help_Gabriele_2017-07-20T05:49:30.124075
| 1,500,529,770.124075 | 86,414 |
pythondev
|
help
|
<@Gabriele> A different database on the staging server though? Wouldn't that be redundant or am I missing something?
|
2017-07-20T05:52:13.184402
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T05:52:13.184402
| 1,500,529,933.184402 | 86,415 |
pythondev
|
help
|
I would say that it is good practice to have local, staging and production environments
|
2017-07-20T05:52:30.190919
|
Meg
|
pythondev_help_Meg_2017-07-20T05:52:30.190919
| 1,500,529,950.190919 | 86,416 |
pythondev
|
help
|
with everything as close to 1:1 as possible
|
2017-07-20T05:52:36.193168
|
Meg
|
pythondev_help_Meg_2017-07-20T05:52:36.193168
| 1,500,529,956.193168 | 86,417 |
pythondev
|
help
|
and not doing so is a major red flag
|
2017-07-20T05:52:52.199066
|
Meg
|
pythondev_help_Meg_2017-07-20T05:52:52.199066
| 1,500,529,972.199066 | 86,418 |
pythondev
|
help
|
You don't want your testing environment accidentally trashing your live or staging environment.
|
2017-07-20T05:53:04.203613
|
Gabriele
|
pythondev_help_Gabriele_2017-07-20T05:53:04.203613
| 1,500,529,984.203613 | 86,419 |
pythondev
|
help
|
seen that happen :slightly_smiling_face:
|
2017-07-20T05:53:14.206993
|
Meg
|
pythondev_help_Meg_2017-07-20T05:53:14.206993
| 1,500,529,994.206993 | 86,420 |
pythondev
|
help
|
<@Meg> So, as in having a separate database locally, on the staging dyno, and on the production dyno? (Already have the latter two)
|
2017-07-20T05:53:19.209075
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T05:53:19.209075
| 1,500,529,999.209075 | 86,421 |
pythondev
|
help
|
correct
|
2017-07-20T05:53:24.210903
|
Meg
|
pythondev_help_Meg_2017-07-20T05:53:24.210903
| 1,500,530,004.210903 | 86,422 |
pythondev
|
help
|
so, you work on a laptop, right?
|
2017-07-20T05:53:36.215406
|
Meg
|
pythondev_help_Meg_2017-07-20T05:53:36.215406
| 1,500,530,016.215406 | 86,423 |
pythondev
|
help
|
I work on my desktop at home, but switch to a laptop when I work remotely sometimes.
|
2017-07-20T05:53:53.221285
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T05:53:53.221285
| 1,500,530,033.221285 | 86,424 |
pythondev
|
help
|
what happens if you want to do a little bit of testing in an area with spotty wifi, eg a coffee shop with a saturated network
|
2017-07-20T05:54:07.226380
|
Meg
|
pythondev_help_Meg_2017-07-20T05:54:07.226380
| 1,500,530,047.22638 | 86,425 |
pythondev
|
help
|
if you have a local db, that's one less network resource you need to worry about
|
2017-07-20T05:54:19.231219
|
Meg
|
pythondev_help_Meg_2017-07-20T05:54:19.231219
| 1,500,530,059.231219 | 86,426 |
pythondev
|
help
|
That's a good point. Actually I sometimes work places without any internet.
|
2017-07-20T05:54:46.241103
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T05:54:46.241103
| 1,500,530,086.241103 | 86,427 |
pythondev
|
help
|
Guess that's been decided then. Thanks :smile:
|
2017-07-20T05:54:59.246097
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T05:54:59.246097
| 1,500,530,099.246097 | 86,428 |
pythondev
|
help
|
so you can keep a small portion of the prod db on your local machine
|
2017-07-20T05:55:06.248747
|
Meg
|
pythondev_help_Meg_2017-07-20T05:55:06.248747
| 1,500,530,106.248747 | 86,429 |
pythondev
|
help
|
don't need to replicate the entire thing fully, especially if you have multi-gigs of records
|
2017-07-20T05:55:28.256913
|
Meg
|
pythondev_help_Meg_2017-07-20T05:55:28.256913
| 1,500,530,128.256913 | 86,430 |
pythondev
|
help
|
just enough to have testing and data integrity :slightly_smiling_face:
|
2017-07-20T05:55:43.262619
|
Meg
|
pythondev_help_Meg_2017-07-20T05:55:43.262619
| 1,500,530,143.262619 | 86,431 |
pythondev
|
help
|
furthermore, if you use vagrant or docker, you can make onboarding and environment issues between developers much smoother
|
2017-07-20T05:56:17.275128
|
Meg
|
pythondev_help_Meg_2017-07-20T05:56:17.275128
| 1,500,530,177.275128 | 86,432 |
pythondev
|
help
|
because _everyone_ is working from the same environment
|
2017-07-20T05:56:26.278494
|
Meg
|
pythondev_help_Meg_2017-07-20T05:56:26.278494
| 1,500,530,186.278494 | 86,433 |
pythondev
|
help
|
no worries about Windows issues when 3/4s of your team are on Linux
|
2017-07-20T05:56:39.283190
|
Meg
|
pythondev_help_Meg_2017-07-20T05:56:39.283190
| 1,500,530,199.28319 | 86,434 |
pythondev
|
help
|
<@Meg> Docker isn't for Windows?
|
2017-07-20T06:08:03.531981
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T06:08:03.531981
| 1,500,530,883.531981 | 86,435 |
pythondev
|
help
|
you misunderstand me
|
2017-07-20T06:10:01.572126
|
Meg
|
pythondev_help_Meg_2017-07-20T06:10:01.572126
| 1,500,531,001.572126 | 86,436 |
pythondev
|
help
|
docker is cross platform, and isolates your codebase from the environment
|
2017-07-20T06:10:16.577534
|
Meg
|
pythondev_help_Meg_2017-07-20T06:10:16.577534
| 1,500,531,016.577534 | 86,437 |
pythondev
|
help
|
<https://docs.docker.com/docker-for-windows/>
|
2017-07-20T06:10:47.588094
|
Meg
|
pythondev_help_Meg_2017-07-20T06:10:47.588094
| 1,500,531,047.588094 | 86,438 |
pythondev
|
help
|
<@Meg> Oh, yes, I just didn't understand your last sentence I guess. Thanks for telling me about Docker. For some reason I thought Docker was another PaaS or something. Is it actually meant to compliment other PaaS?
|
2017-07-20T06:26:30.895568
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T06:26:30.895568
| 1,500,531,990.895568 | 86,439 |
pythondev
|
help
|
Anyone here familiar with PostGIS?
|
2017-07-20T07:31:30.078840
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T07:31:30.078840
| 1,500,535,890.07884 | 86,440 |
pythondev
|
help
|
I've done a bit with it.
|
2017-07-20T07:33:57.122717
|
Gabriele
|
pythondev_help_Gabriele_2017-07-20T07:33:57.122717
| 1,500,536,037.122717 | 86,441 |
pythondev
|
help
|
<@Gabriele> Cool! Do you know where I might be able to get my hands on some sample geography data to experiment with? I have a database but it's full of shape and geometry data and I want to try querying for all objects within a certain radius of a point which I can't do without geography data.
|
2017-07-20T07:37:00.177605
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T07:37:00.177605
| 1,500,536,220.177605 | 86,442 |
pythondev
|
help
|
you should be able to convert from geometry to geography
|
2017-07-20T07:39:44.227012
|
Meg
|
pythondev_help_Meg_2017-07-20T07:39:44.227012
| 1,500,536,384.227012 | 86,443 |
pythondev
|
help
|
<https://gis.stackexchange.com/questions/18011/is-it-possible-to-convert-from-geography-to-geometry-in-postgis>
|
2017-07-20T07:39:57.231032
|
Meg
|
pythondev_help_Meg_2017-07-20T07:39:57.231032
| 1,500,536,397.231032 | 86,444 |
pythondev
|
help
|
and furthermore, regarding docker
so, docker basically puts a bare bones VM in which you specify containers for parts of your application stack.
|
2017-07-20T07:40:33.242022
|
Meg
|
pythondev_help_Meg_2017-07-20T07:40:33.242022
| 1,500,536,433.242022 | 86,445 |
pythondev
|
help
|
so, if you're on windows and another dev is on mac
|
2017-07-20T07:40:47.246412
|
Meg
|
pythondev_help_Meg_2017-07-20T07:40:47.246412
| 1,500,536,447.246412 | 86,446 |
pythondev
|
help
|
<@Thomasina> I personally just used data from sources like Google Maps, querying for places and their long/lat, and adding to my DB
|
2017-07-20T07:40:55.248623
|
Gabriele
|
pythondev_help_Gabriele_2017-07-20T07:40:55.248623
| 1,500,536,455.248623 | 86,447 |
pythondev
|
help
|
you can ensure that whatever issues you have are code related and not OS related
|
2017-07-20T07:41:01.250420
|
Meg
|
pythondev_help_Meg_2017-07-20T07:41:01.250420
| 1,500,536,461.25042 | 86,448 |
pythondev
|
help
|
furthermore, bringing in a new dev and getting them integrated with the projects is much simpler, because you already hhave the environment and code _right there_
|
2017-07-20T07:41:36.261085
|
Meg
|
pythondev_help_Meg_2017-07-20T07:41:36.261085
| 1,500,536,496.261085 | 86,449 |
pythondev
|
help
|
<@Gabriele> Through the Google Maps API? Or do they have downloadable datasets?
<@Meg> Thanks! I'll look into that. Also, Docker does sound really useful. I'm going to check them out! Thanks! :smile:
|
2017-07-20T07:42:12.271846
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T07:42:12.271846
| 1,500,536,532.271846 | 86,450 |
pythondev
|
help
|
through the API
|
2017-07-20T07:42:24.275528
|
Gabriele
|
pythondev_help_Gabriele_2017-07-20T07:42:24.275528
| 1,500,536,544.275528 | 86,451 |
pythondev
|
help
|
<@Thomasina> <@Gabriele> <http://workshops.boundlessgeo.com/postgis-intro/geography.html#casting-to-geometry>
|
2017-07-20T07:42:27.276409
|
Meg
|
pythondev_help_Meg_2017-07-20T07:42:27.276409
| 1,500,536,547.276409 | 86,452 |
pythondev
|
help
|
if you already have the data, no need to use google maps
|
2017-07-20T07:42:37.279183
|
Meg
|
pythondev_help_Meg_2017-07-20T07:42:37.279183
| 1,500,536,557.279183 | 86,453 |
pythondev
|
help
|
and the US Census bureau already has plenty of data for download
|
2017-07-20T07:43:15.290456
|
Meg
|
pythondev_help_Meg_2017-07-20T07:43:15.290456
| 1,500,536,595.290456 | 86,454 |
pythondev
|
help
|
<https://www.census.gov/geo/maps-data/data/tiger.html>
|
2017-07-20T07:43:16.290593
|
Meg
|
pythondev_help_Meg_2017-07-20T07:43:16.290593
| 1,500,536,596.290593 | 86,455 |
pythondev
|
help
|
Yeah, I wasn't suggesting he use Google Maps, just saying that my application did
|
2017-07-20T07:43:34.296243
|
Gabriele
|
pythondev_help_Gabriele_2017-07-20T07:43:34.296243
| 1,500,536,614.296243 | 86,456 |
pythondev
|
help
|
ah ok
|
2017-07-20T07:43:42.298367
|
Meg
|
pythondev_help_Meg_2017-07-20T07:43:42.298367
| 1,500,536,622.298367 | 86,457 |
pythondev
|
help
|
<@Gabriele> Oh, sorry I suppose I actually misunderstood my problem. I'm running this query:
`SELECT * FROM towns WHERE ST_Distance_Sphere(geom, ST_MakePoint(71.3033,44.2706)) <= 150 * 1609.34`
and the error is:
```ERROR: BOOM! Could not generate outside point!
CONTEXT: SQL function "st_distance_sphere" statement 2```
By `statement 2` I think it's actually referring to `ST_MakePoint(71.3033,44.2706)`. This is a valid lat/long though and looking at the documentation it appears `ST_MakePoint` does in fact accept a lat/long. :thinking_face:
|
2017-07-20T07:49:19.400704
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T07:49:19.400704
| 1,500,536,959.400704 | 86,458 |
pythondev
|
help
|
<@Meg> Oh, not sure why census data never occurred to me. Nice!
|
2017-07-20T07:49:52.410894
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T07:49:52.410894
| 1,500,536,992.410894 | 86,459 |
pythondev
|
help
|
you're in canada, right? there should be something similar for you there
|
2017-07-20T07:50:09.416444
|
Meg
|
pythondev_help_Meg_2017-07-20T07:50:09.416444
| 1,500,537,009.416444 | 86,460 |
pythondev
|
help
|
<http://www12.statcan.gc.ca/census-recensement/2011/geo/bound-limit/bound-limit-2016-eng.cfm>
|
2017-07-20T07:51:02.433421
|
Meg
|
pythondev_help_Meg_2017-07-20T07:51:02.433421
| 1,500,537,062.433421 | 86,461 |
pythondev
|
help
|
Yep. Although any dataset with a lot of records is good. I think I used the US census site awhile ago when doing machine learning so I'm a bit familiar with it, so I'd probably just use that again.
|
2017-07-20T07:51:06.434827
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T07:51:06.434827
| 1,500,537,066.434827 | 86,462 |
pythondev
|
help
|
Oh, well since I don't have to look for it I might use the Canadian information then. :joy: Thanks
|
2017-07-20T07:51:29.441934
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T07:51:29.441934
| 1,500,537,089.441934 | 86,463 |
pythondev
|
help
|
What I'm trying to do is get all recorded locations within a radius of a specific lat/long. I'm using PostGIS now which has been nice so far, but I'm wondering if there might be an even simpler solution...
|
2017-07-20T07:53:16.475244
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T07:53:16.475244
| 1,500,537,196.475244 | 86,464 |
pythondev
|
help
|
and regarding your query
|
2017-07-20T07:53:21.476776
|
Meg
|
pythondev_help_Meg_2017-07-20T07:53:21.476776
| 1,500,537,201.476776 | 86,465 |
pythondev
|
help
|
what is `geom`
|
2017-07-20T07:53:27.478768
|
Meg
|
pythondev_help_Meg_2017-07-20T07:53:27.478768
| 1,500,537,207.478768 | 86,466 |
pythondev
|
help
|
To get all locations within a radius of somewhere is exactly the right sort of problem for PostGIS
|
2017-07-20T07:53:56.487739
|
Gabriele
|
pythondev_help_Gabriele_2017-07-20T07:53:56.487739
| 1,500,537,236.487739 | 86,467 |
pythondev
|
help
|
yeah
|
2017-07-20T07:54:02.489495
|
Meg
|
pythondev_help_Meg_2017-07-20T07:54:02.489495
| 1,500,537,242.489495 | 86,468 |
pythondev
|
help
|
because you're working with spatial data
|
2017-07-20T07:54:09.491617
|
Meg
|
pythondev_help_Meg_2017-07-20T07:54:09.491617
| 1,500,537,249.491617 | 86,469 |
pythondev
|
help
|
The only simpler solution is to call someone else's API to perform the same operation on their database
|
2017-07-20T07:54:13.492812
|
Gabriele
|
pythondev_help_Gabriele_2017-07-20T07:54:13.492812
| 1,500,537,253.492812 | 86,470 |
pythondev
|
help
|
and postgis is highly optimized
|
2017-07-20T07:54:21.495510
|
Meg
|
pythondev_help_Meg_2017-07-20T07:54:21.495510
| 1,500,537,261.49551 | 86,471 |
pythondev
|
help
|
you could do a naive solution
|
2017-07-20T07:54:27.497078
|
Meg
|
pythondev_help_Meg_2017-07-20T07:54:27.497078
| 1,500,537,267.497078 | 86,472 |
pythondev
|
help
|
but it would be significantly less performant
|
2017-07-20T07:54:35.500256
|
Meg
|
pythondev_help_Meg_2017-07-20T07:54:35.500256
| 1,500,537,275.500256 | 86,473 |
pythondev
|
help
|
`geom` is a column containing geometry data (in this case it's the boundaries of towns in a small section of the US).
|
2017-07-20T07:54:40.501642
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T07:54:40.501642
| 1,500,537,280.501642 | 86,474 |
pythondev
|
help
|
<https://postgis.net/docs/ST_DistanceSphere.html>
|
2017-07-20T07:54:55.506551
|
Meg
|
pythondev_help_Meg_2017-07-20T07:54:55.506551
| 1,500,537,295.506551 | 86,475 |
pythondev
|
help
|
It needs points, not just any arbitrary geometry
|
2017-07-20T07:55:08.510442
|
Gabriele
|
pythondev_help_Gabriele_2017-07-20T07:55:08.510442
| 1,500,537,308.510442 | 86,476 |
pythondev
|
help
|
Well I better stick with PostGIS then. While load will be very light at first it could become quite heavy later on.
|
2017-07-20T07:55:17.513378
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T07:55:17.513378
| 1,500,537,317.513378 | 86,477 |
pythondev
|
help
|
for example, make a multilinestring
|
2017-07-20T07:55:19.514163
|
Meg
|
pythondev_help_Meg_2017-07-20T07:55:19.514163
| 1,500,537,319.514163 | 86,478 |
pythondev
|
help
|
<@Gabriele> I assumed the geometry was in projectable coordinates...?
|
2017-07-20T07:56:04.528816
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T07:56:04.528816
| 1,500,537,364.528816 | 86,479 |
pythondev
|
help
|
<@Thomasina> if you want more help about gis stuff
|
2017-07-20T07:56:13.531702
|
Meg
|
pythondev_help_Meg_2017-07-20T07:56:13.531702
| 1,500,537,373.531702 | 86,480 |
pythondev
|
help
|
<http://thespatialcommunity.org/>
|
2017-07-20T07:56:14.531843
|
Meg
|
pythondev_help_Meg_2017-07-20T07:56:14.531843
| 1,500,537,374.531843 | 86,481 |
pythondev
|
help
|
It needs one single point
|
2017-07-20T07:56:30.537323
|
Gabriele
|
pythondev_help_Gabriele_2017-07-20T07:56:30.537323
| 1,500,537,390.537323 | 86,482 |
pythondev
|
help
|
<@Meg> Oh nice! Didn't think there'd be a Slack for this. I requested an invite now.
|
2017-07-20T07:57:12.550859
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T07:57:12.550859
| 1,500,537,432.550859 | 86,483 |
pythondev
|
help
|
are you using flask or django for this
|
2017-07-20T07:57:56.565161
|
Meg
|
pythondev_help_Meg_2017-07-20T07:57:56.565161
| 1,500,537,476.565161 | 86,484 |
pythondev
|
help
|
<@Gabriele> Oh yeah, my bad. I guess what I want to do then (to keep things simple) is to work out the center-point of each shape first.
|
2017-07-20T07:58:01.566681
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T07:58:01.566681
| 1,500,537,481.566681 | 86,485 |
pythondev
|
help
|
I think there are other functions that are more lenient on which types they accept for distance calculations, but the docs for that one suggest that it doesn't
|
2017-07-20T07:58:10.569479
|
Gabriele
|
pythondev_help_Gabriele_2017-07-20T07:58:10.569479
| 1,500,537,490.569479 | 86,486 |
pythondev
|
help
|
<@Meg> Flask
|
2017-07-20T07:58:10.569544
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T07:58:10.569544
| 1,500,537,490.569544 | 86,487 |
pythondev
|
help
|
<https://geoalchemy-2.readthedocs.io/en/latest/>
|
2017-07-20T07:58:37.578114
|
Meg
|
pythondev_help_Meg_2017-07-20T07:58:37.578114
| 1,500,537,517.578114 | 86,488 |
pythondev
|
help
|
might want to use that instead of raw queries, especially now
|
2017-07-20T07:58:47.581818
|
Meg
|
pythondev_help_Meg_2017-07-20T07:58:47.581818
| 1,500,537,527.581818 | 86,489 |
pythondev
|
help
|
<@Meg> Oh, yep, you or <@Gabriele> (or somebody at least) posted that here the other day so I have it. I'm running these queries raw in pgAdmin against the database though just to familiarize myself without having to run a .py script each time. :slightly_smiling_face:
|
2017-07-20T07:59:58.604585
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T07:59:58.604585
| 1,500,537,598.604585 | 86,490 |
pythondev
|
help
|
there isn't a shell for flask, like there is for django?
|
2017-07-20T08:00:22.614295
|
Meg
|
pythondev_help_Meg_2017-07-20T08:00:22.614295
| 1,500,537,622.614295 | 86,491 |
pythondev
|
help
|
There is
|
2017-07-20T08:00:33.617840
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T08:00:33.617840
| 1,500,537,633.61784 | 86,492 |
pythondev
|
help
|
so why not use that ORM instead?
|
2017-07-20T08:00:54.625288
|
Meg
|
pythondev_help_Meg_2017-07-20T08:00:54.625288
| 1,500,537,654.625288 | 86,493 |
pythondev
|
help
|
but my database in my Flask app isn't set up with the proper data
|
2017-07-20T08:00:55.625819
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T08:00:55.625819
| 1,500,537,655.625819 | 86,494 |
pythondev
|
help
|
gotcha
|
2017-07-20T08:00:59.627362
|
Meg
|
pythondev_help_Meg_2017-07-20T08:00:59.627362
| 1,500,537,659.627362 | 86,495 |
pythondev
|
help
|
I just loaded a sample dataset into a database in my local postgres install to play with it, for now
|
2017-07-20T08:01:23.635559
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T08:01:23.635559
| 1,500,537,683.635559 | 86,496 |
pythondev
|
help
|
Once I feel comfortable with how it works and the data I need and how to structure the tables for my data I'll do that part (hopefully soon!)
|
2017-07-20T08:01:59.647804
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T08:01:59.647804
| 1,500,537,719.647804 | 86,497 |
pythondev
|
help
|
alright
|
2017-07-20T08:02:11.652181
|
Meg
|
pythondev_help_Meg_2017-07-20T08:02:11.652181
| 1,500,537,731.652181 | 86,498 |
pythondev
|
help
|
So I've loaded a table with a list of world cities but I'm not getting the expected results. For example I can run `SELECT * FROM cities WHERE ST_DWithin(geog, ST_MakePoint(45.4215,75.6972)::geography, 470000)` which _should_ return Toronto and a number of other surrounding cities. I've confirmed that Toronto exists in the database with the expected lat/long. However 0 rows are returned. :disappointed:
|
2017-07-20T09:56:37.852226
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T09:56:37.852226
| 1,500,544,597.852226 | 86,499 |
pythondev
|
help
|
I'm not sure what I'm doing wrong. I've been following examples from articles and there are no errors returned...tried a few variations too.
|
2017-07-20T09:58:59.941907
|
Thomasina
|
pythondev_help_Thomasina_2017-07-20T09:58:59.941907
| 1,500,544,739.941907 | 86,500 |
pythondev
|
help
|
dear friendssss
|
2017-07-20T09:59:38.967243
|
Kandis
|
pythondev_help_Kandis_2017-07-20T09:59:38.967243
| 1,500,544,778.967243 | 86,501 |
pythondev
|
help
|
why does python tell me:
|
2017-07-20T10:00:23.998438
|
Kandis
|
pythondev_help_Kandis_2017-07-20T10:00:23.998438
| 1,500,544,823.998438 | 86,502 |
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