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docs: create wonderful draw for describe
A drawing describing the structure of the project and how it works can be added to Readme
feature: provide cache refreshing response
If a request comes in while the cache is loading, a request is made that asks for the request to be refreshed a few seconds later.
docs: create wonderful readme
A readme should be prepared explaining the purpose of the project, its setup and how it works.
dev: add mongodb to project
add mongodb to project for cache and queries
dev: develop project skeleton
the main structure of the project should be developed
fix: clear codes
rough code has been written so far. This code should be made review-friendly :)
feature: add cache for better performance
sheetsapi can return a response up to 10 seconds. Therefore, using cache, even for a few minutes, will increase performance.
feature: support this metric: `Net Revenue of Each Customer`
The metric named Net Revenue of Each Customer by Brand should be developed.
Example Request
GET /metrics?id=net-revenue&dimensions=customer&aggregate=sum&filter.date.from=2020-09-10&filter.date.to=2020-09-15Example Response
{
"metric": "net-revenue",
"dimensions": ["customer"],
"aggregation": "sum",
"filters": {
"date": {
"from": "2020-09-10",
"to": "2020-09-15"
}
}
"data": {
"Tim": [
{
"value": "321.40"
}
],
"Jane": [
{
"value": "25.00"
}
],
"Alex": [
{
"value": "78.00"
}
]
}
}feature: support this metric: `Weekly Sessions`
The metric namedWeekly Sessions should be developed.
Example Request
GET /metrics?id=sessions&dimensions=date.weeknum&aggregate=distinctExample Response
{
"metric": "sessions",
"dimensions": ["date.weeknum"],
"aggregation": "distinct",
"data": {
"49": [
{
"value": "2342"
}
],
"50": [
{
"value": "2322"
}
],
"51": [
{
"value": "1643"
}
],
"52": [
{
"value": "34"
}
]
}
}feature: provide env variables for app
environment variables required by the application should be kept in env files and be traversed through docker
feature: support this metric: `Avg. Revenue by Brand`
The metric named Avg. Revenue by Brand should be developed.
Example Request
GET /metrics?id=revenue&dimensions=brand&aggregate=avgExample Response
{
"metric": "revenue",
"dimensions": ["brand"],
"aggregation": "avg",
"data": {
"Nike": [
{
"value": "1.23"
}
],
"Samsung": [
{
"value": "2.00"
}
],
"Apple": [
{
"value": "3.00"
}
]
}
}feature: Containerizate with Docker
the project should be containerized with docker and can be booted up with docker-compose
feature: support this metric: `Daily Conversion Date`
The metric namedDaily Conversion Date % should be developed.
Example Request
GET /metrics?id=conversion&dimensions=date&aggregate=distinctExample Response
{
"metric": "conversion",
"dimensions": ["date"],
"aggregation": "distinct",
"data": {
"2020-10-09": [
{
"sessions": 100,
"purchases": 10,
"value": "10.00"
}
],
"2020-10-10": [
{
"sessions": 1000,
"purchases": 250,
"value": "25.00"
}
]
}
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