Sandata templates. API scripts for a few customers.

This commit is contained in:
Norm Rasmussen
2024-06-04 17:04:17 -04:00
parent 2f75b0779a
commit e325b9a3bc
6 changed files with 38 additions and 21 deletions

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@ -1,6 +1,11 @@
{% include "header" %}
{% include "course_version_outdated_alert", courses: courses.enrolled %}
{% include "sub_navigation" %}
<div role="alert" class="np-alert np-alert-global np-alert-info" style="background-color: #156082;">
<div class="np-alert-container uk-container uk-container-center">
<a href="https://sandata.zendesk.com/hc/en-us/requests/new?ticket_form_id=29573263548819" style="text-decoration:none; background-color:#156082; color:#ffffff;"/>For Help/Support Click here.</a>
</div>
</div>
<main class="np-main np-dashboard np-subpage-container np-max-width">
<div class="row np-flex-center">
<div class="col-xs-12 col-sm-8">

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@ -25,7 +25,7 @@
<input class="sign-up-follow-up-input" placeholder="Medicaid ID #" id="medicaid-id-input"/>
<span class="sign-up-follow-up-error-label" id="medicaid-id-label">Please enter a valid, 5-12 digit Medicaid ID number</span>
<input class="sign-up-follow-up-input" placeholder="Provider ID #" id="provider-id-input"/>
<span class="sign-up-follow-up-error-label" id="provider-id-label">Please enter a valid, 10 digit Provider ID number</span>
<span class="sign-up-follow-up-error-label" id="provider-id-label">Please enter a valid, 1-10 digit Provider ID number</span>
{% comment %} <h1 class="sign-up-follow-up-prompt">Role: </h1> {% endcomment %}
{% include "sign_up_follow_up_roles_dropdown" %}
@ -234,7 +234,7 @@
let splitID = event.target.value.split('');
let valid = true;
if(splitID.length == 10){
if(splitID.length >= 1 && splitID.length <= 10){
for(let i = 0; i < splitID.length; i++){
if(digits[splitID[i]] != splitID[i]){
valid = false;

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@ -22,4 +22,8 @@
.np-box-header{
background: #FFF !important;
}
}
}
.np-sub-navigation {
margin-bottom: 0px;
}

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@ -4,7 +4,7 @@ from pathlib import Path
import Apikeys
import os
basefile = "/Users/normrasmussen/Downloads/mizuno-april-completions.csv"
basefile = "/Users/normrasmussen/Downloads/mizuno-may-completions.csv"
api_key = Apikeys.MIZUNO
uuid_url = "https://api.northpass.com/v2/people?filter[email][eq]="
prop_url = "https://api.northpass.com/v2/properties/people/"
@ -26,7 +26,8 @@ def load_file(basefile):
for email in completions.itertuples():
row_num = email[0]
row_dict = {"row_num": row_num}
email = email[2]
email = email[3]
print(email)
url = uuid_url + f"{email}"
response = requests.get(url, headers=headers)
if response.status_code == 200:
@ -50,7 +51,7 @@ def load_file(basefile):
completions = completions[completions["userid"] != "0"]
# completions = completions.iloc[:, 0:]
completions.to_csv(
"/Users/normrasmussen/Downloads/Mizuno-April2024-with-PGAID.csv",
"/Users/normrasmussen/Downloads/Mizuno-May2024-with-PGAID.csv",
index=False,
)

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@ -55,7 +55,7 @@ def get_courses():
pp.pprint(list_of_ids)
# print(len(list_of_ids))
with open(
"/Users/normrasmussen/Downloads/Walmart-Live-Courses.csv", "a+", newline='\n'
"/Users/normrasmussen/Downloads/Anthology-Courses.csv", "a+", newline='\n'
) as csvfile:
for group in list_of_ids:
for key, value in group.items():

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@ -80,28 +80,35 @@ def group_ids():
def get_courses(ids):
df = pd.DataFrame()
courses = []
error_groups = []
for tupe in ids:
id = tupe[0]
group = tupe[1]
print(f"Get Courses Function. Group:{ group } and id: {id}")
for count in range(1, 10):
print(f"Get Courses For Loop. Group:{ group } and count: {count}")
url2 = f"groups/{id}/courses?limit=100&page={count}"
courseurl = f"{BASEURL}{url2}"
coursereq = requests.get(courseurl, headers=HEADERS)
coursedata = coursereq.json()
print(coursedata)
nextlink = coursedata["links"]
for cdata in coursedata["included"]:
# if cdata["attributes"]["status"] == "archived":
coursedict = parse_data(cdata, group)
print(f"Coursedict --> {coursedict} for page {count}")
if coursedict is not None:
courses.append(coursedict)
if "next" not in nextlink:
break
try:
coursedata = coursereq.json()
nextlink = coursedata["links"]
for cdata in coursedata["included"]:
# if cdata["attributes"]["status"] == "archived":
coursedict = parse_data(cdata, group)
print(f"Coursedict --> {coursedict} for page {count}")
if coursedict is not None:
courses.append(coursedict)
except JSONDecodeError as e:
print("JSON Error! {e}")
error_groups.append(group)
pddata = df.from_records(courses)
pddata.to_csv("~/Downloads/ARCHIVED-Anthology_Course_IDs_Names.csv")
finally:
if "next" not in nextlink:
break
pddata = df.from_records(courses)
pddata.to_csv("/Users/normrasmussen/Downloads/ALL-Anthology_Course_IDs_Names.csv")
print(error_groups)
def parse_data(cdata, group):